National Library of Energy BETA

Sample records for knowledge base talent

  1. TALENT user's manual.

    SciTech Connect (OSTI)

    Merchant, Bion John

    2012-01-01

    The Ground-Based Monitoring R and E Component Evaluation project performs testing on the hardware components that make up Seismic and Infrasound monitoring systems. The majority of the testing is focused on the Digital Waveform Recorder (DWR), Seismic Sensor, and Infrasound Sensor. The software tool used to capture and analyze the data collected from testing is called TALENT: Test and Analysis Evaluation Tool. This document is the manual for using TALENT. Other reports document the testing procedures that are in place (Kromer, 2007) and the algorithms employed in the test analysis (Merchant, 2011).

  2. An Insulating Glass Knowledge Base

    SciTech Connect (OSTI)

    Michael L. Doll; Gerald Hendrickson; Gerard Lagos; Russell Pylkki; Chris Christensen; Charlie Cureija

    2005-08-01

    This report will discuss issues relevant to Insulating Glass (IG) durability performance by presenting the observations and developed conclusions in a logical sequential format. This concluding effort discusses Phase II activities and focuses on beginning to quantifying IG durability issues while continuing the approach presented in the Phase I activities (Appendix 1) which discuss a qualitative assessment of durability issues. Phase II developed a focus around two specific IG design classes previously presented in Phase I of this project. The typical box spacer and thermoplastic spacer design including their Failure Modes and Effect Analysis (FMEA) and Fault Tree diagrams were chosen to address two currently used IG design options with varying components and failure modes. The system failures occur due to failures of components or their interfaces. Efforts to begin quantifying the durability issues focused on the development and delivery of an included computer based IG durability simulation program. The focus/effort to deliver the foundation for a comprehensive IG durability simulation tool is necessary to address advancements needed to meet current and future building envelope energy performance goals. This need is based upon the current lack of IG field failure data and the lengthy field observation time necessary for this data collection. Ultimately, the simulation program is intended to be used by designers throughout the current and future industry supply chain. Its use is intended to advance IG durability as expectations grow around energy conservation and with the growth of embedded technologies as required to meet energy needs. In addition the tool has the immediate benefit of providing insight for research and improvement prioritization. Included in the simulation model presentation are elements and/or methods to address IG materials, design, process, quality, induced stress (environmental and other factors), validation, etc. In addition, acquired data

  3. Giving Back Through Our Talented STEM Professionals | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    The fair aims to match the needs of the local science, technology, engineering, and math (STEM) educational community with the amazing base of talent possessed by federal ...

  4. Bioenergy Science Center KnowledgeBase

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Syed, M. H.; Karpinets, T. V.; Parang, M.; Leuze, M. R.; Park, B. H.; Hyatt, D.; Brown, S. D.; Moulton, S. Galloway, M.D.; Uberbacher, E. C.

    The challenge of converting cellulosic biomass to sugars is the dominant obstacle to cost effective production of biofuels in s capable of significant enough quantities to displace U. S. consumption of fossil transportation fuels. The BioEnergy Science Center (BESC) tackles this challenge of biomass recalcitrance by closely linking (1) plant research to make cell walls easier to deconstruct, and (2) microbial research to develop multi-talented biocatalysts tailor-made to produce biofuels in a single step. [from the 2011 BESC factsheet] The BioEnergy Science Center (BESC) is a multi-institutional, multidisciplinary research (biological, chemical, physical and computational sciences, mathematics and engineering) organization focused on the fundamental understanding and elimination of biomass recalcitrance. The BESC Knowledgebase and its associated tools is a discovery platform for bioenergy research. It consists of a collection of metadata, data, and computational tools for data analysis, integration, comparison and visualization for plants and microbes in the center.The BESC Knowledgebase (KB) and BESC Laboratory Information Management System (LIMS) enable bioenergy researchers to perform systemic research. [http://bobcat.ornl.gov/besc/index.jsp

  5. Advancing the hydrogen safety knowledge base

    SciTech Connect (OSTI)

    Weiner, S. C.

    2014-08-29

    The International Energy Agency's Hydrogen Implementing Agreement (IEA HIA) was established in 1977 to pursue collaborative hydrogen research and development and information exchange among its member countries. Information and knowledge dissemination is a key aspect of the work within IEA HIA tasks, and case studies, technical reports and presentations/publications often result from the collaborative efforts. The work conducted in hydrogen safety under Task 31 and its predecessor, Task 19, can positively impact the objectives of national programs even in cases for which a specific task report is not published. As a result, the interactions within Task 31 illustrate how technology information and knowledge exchange among participating hydrogen safety experts serve the objectives intended by the IEA HIA.

  6. Advancing the hydrogen safety knowledge base

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Weiner, S. C.

    2014-08-29

    The International Energy Agency's Hydrogen Implementing Agreement (IEA HIA) was established in 1977 to pursue collaborative hydrogen research and development and information exchange among its member countries. Information and knowledge dissemination is a key aspect of the work within IEA HIA tasks, and case studies, technical reports and presentations/publications often result from the collaborative efforts. The work conducted in hydrogen safety under Task 31 and its predecessor, Task 19, can positively impact the objectives of national programs even in cases for which a specific task report is not published. As a result, the interactions within Task 31 illustrate how technologymore » information and knowledge exchange among participating hydrogen safety experts serve the objectives intended by the IEA HIA.« less

  7. The data dictionary: A view into the CTBT knowledge base

    SciTech Connect (OSTI)

    Shepherd, E.R.; Keyser, R.G.; Armstrong, H.M.

    1997-08-01

    The data dictionary for the Comprehensive Test Ban Treaty (CTBT) knowledge base provides a comprehensive, current catalog of the projected contents of the knowledge base. It is written from a data definition view of the knowledge base and therefore organizes information in a fashion that allows logical storage within the computer. The data dictionary introduces two organization categories of data: the datatype, which is a broad, high-level category of data, and the dataset, which is a specific instance of a datatype. The knowledge base, and thus the data dictionary, consist of a fixed, relatively small number of datatypes, but new datasets are expected to be added on a regular basis. The data dictionary is a tangible result of the design effort for the knowledge base and is intended to be used by anyone who accesses the knowledge base for any purpose, such as populating the knowledge base with data, or accessing the data for use with automatic data processing (ADP) routines, or browsing through the data for verification purposes. For these two reasons, it is important to discuss the development of the data dictionary as well as to describe its contents to better understand its usefulness; that is the purpose of this paper.

  8. The process for integrating the NNSA knowledge base.

    SciTech Connect (OSTI)

    Wilkening, Lisa K.; Carr, Dorthe Bame; Young, Christopher John; Hampton, Jeff; Martinez, Elaine

    2009-03-01

    From 2002 through 2006, the Ground Based Nuclear Explosion Monitoring Research & Engineering (GNEMRE) program at Sandia National Laboratories defined and modified a process for merging different types of integrated research products (IRPs) from various researchers into a cohesive, well-organized collection know as the NNSA Knowledge Base, to support operational treaty monitoring. This process includes defining the KB structure, systematically and logically aggregating IRPs into a complete set, and verifying and validating that the integrated Knowledge Base works as expected.

  9. Knowledge Based Estimation of Material Release Transients

    Energy Science and Technology Software Center (OSTI)

    1998-07-29

    KBERT is an easy to use desktop decision support tool for estimating public and in-facility worker doses and consequences of radioactive material releases in non-reactort nuclear facilities. It automatically calculates release and respirable fractions based on published handbook data, and calculates material transport concurrently with personnel evacuation simulations. Any facility layout can be modeled easily using the intuitive graphical user interface.

  10. Evaluation of database technologies for the CTBT Knowledge Base prototype

    SciTech Connect (OSTI)

    Keyser, R.; Shepard-Dombroski, E.; Baur, D.; Hipp, J.; Moore, S.; Young, C.; Chael, E.

    1996-11-01

    This document examines a number of different software technologies in the rapidly changing field of database management systems, evaluates these systems in light of the expected needs of the Comprehensive Test Ban Treaty (CTBT) Knowledge Base, and makes some recommendations for the initial prototypes of the Knowledge Base. The Knowledge Base requirements are examined and then used as criteria for evaluation of the database management options. A mock-up of the data expected in the Knowledge Base is used as a basis for examining how four different database technologies deal with the problems of storing and retrieving the data. Based on these requirement and the results of the evaluation, the recommendation is that the Illustra database be considered for the initial prototype of the Knowledge Base. Illustra offers a unique blend of performance, flexibility, and features that will aid in the implementation of the prototype. At the same time, Illustra provides a high level of compatibility with the hardware and software environments present at the US NDC (National Data Center) and the PIDC (Prototype International Data Center).

  11. Integrating knowledge-based techniques into well-test interpretation

    SciTech Connect (OSTI)

    Harrison, I.W.; Fraser, J.L.

    1995-04-01

    The goal of the Spirit Project was to develop a prototype of next-generation well-test-interpretation (WTI) software that would include knowledge-based decision support for the WTI model selection task. This paper describes how Spirit makes use of several different types of information (pressure, seismic, petrophysical, geological, and engineering) to support the user in identifying the most appropriate WTI model. Spirit`s knowledge-based approach to type-curve matching is to generate several different feasible interpretations by making assumptions about the possible presence of both wellbore storage and late-time boundary effects. Spirit fuses information from type-curve matching and other data sources by use of a knowledge-based decision model developed in collaboration with a WTI expert. The sponsors of the work have judged the resulting prototype system a success.

  12. JOBAID-ACCESSING AND MODIFYING TALENT PROFILE

    Broader source: Energy.gov [DOE]

    The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile...

  13. ISPE: A knowledge-based system for fluidization studies

    SciTech Connect (OSTI)

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  14. Using the DOE Knowledge Base for Special Event Analysis

    SciTech Connect (OSTI)

    Armstrong, H.M.; Harris, J.M.; Young, C.J.

    1998-10-20

    The DOE Knowledge Base is a library of detailed information whose purpose is to support the United States National Data Center (USNDC) in its mission to monitor compliance with the Comprehensive Test Ban Treaty (CTBT). One of the important tasks which the USNDC must accomplish is to periodically perform detailed analysis of events of high interest, so-called "Special Events", to provide the national authority with information needed to make policy decisions. In this paper we investigate some possible uses of the Knowledge Base for Special Event Analysis (SEA), and make recommendations for improving Knowledge Base support for SEA. To analyze an event in detail, there are two basic types of data which must be used sensor-derived data (wave- forms, arrivals, events, etc.) and regiohalized contextual data (known sources, geological characteristics, etc.). Cur- rently there is no single package which can provide full access to both types of data, so for our study we use a separate package for each MatSeis, the Sandia Labs-developed MATLAB-based seismic analysis package, for wave- form data analysis, and ArcView, an ESRI product, for contextual data analysis. Both packages are well-suited to pro- totyping because they provide a rich set of currently available functionality and yet are also flexible and easily extensible, . Using these tools and Phase I Knowledge Base data sets, we show how the Knowledge Base can improve both the speed and the quality of SEA. Empirically-derived interpolated correction information can be accessed to improve both location estimates and associated error estimates. This information can in turn be used to identi~ any known nearby sources (e.g. mines, volcanos), which may then trigger specialized processing of the sensor data. Based on the location estimate, preferred magnitude formulas and discriminants can be retrieved, and any known blockages can be identified to prevent miscalculations. Relevant historic events can be identilled either by

  15. Knowledge-based design of complex mechanical systems

    SciTech Connect (OSTI)

    Ishii, K.

    1988-01-01

    The recent development of Artificial Intelligence (AI) techniques allows incorporation of qualitative aspects of design into the computer aids. This thesis presents a framework for applying AI techniques to the design of complex mechanical systems. A complex, yet well-understood design example as a vehicle for the effort is used. The author first reviews how experienced designers use knowledge at various stages of system design. He then proposes a knowledge-based model of the design process and develop frameworks for applying knowledge engineering in order to construct a consultation system for the designers. He proposes four such frameworks for use at different stages of design: (1) Design Compatibility Analysis (DCA) analyzes the compatibility of the designer's design alternatives with the design specification, (2) Initial Design Suggestion (IDS) provides the designer with reasonable initial estimates of the design variables, (3) Rule-based Sensitivity Analysis (RSA) guides the user through redesign, and (4) Active Constraint Deduction (ACD) identifies the bottlenecks of design by heuristic knowledge. These frameworks eliminate unnecessary iterations and allows the user to obtain a satisfactory solution rapidly.

  16. A knowledge based model of electric utility operations. Final report

    SciTech Connect (OSTI)

    1993-08-11

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  17. Agent-Based Knowledge Discovery for Modeling and Simulation

    SciTech Connect (OSTI)

    Haack, Jereme N.; Cowell, Andrew J.; Marshall, Eric J.; Fligg, Alan K.; Gregory, Michelle L.; McGrath, Liam R.

    2009-09-15

    This paper describes an approach to using agent technology to extend the automated discovery mechanism of the Knowledge Encapsulation Framework (KEF). KEF is a suite of tools to enable the linking of knowledge inputs (relevant, domain-specific evidence) to modeling and simulation projects, as well as other domains that require an effective collaborative workspace for knowledge-based tasks. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a semantic wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  18. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translation...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational Genomics Citation Details In-Document Search Title: Soybean Knowledge Base (SoyKB): a Web ...

  19. Talent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    security, and reliability of the U.S. nuclear deterrent; reduce global threats; and solve other emerging national security and energy challenges. June 20, 2013 alt Current...

  20. Knowledge base navigator facilitating regional analysis inter-tool communication.

    SciTech Connect (OSTI)

    Hampton, Jeffery Wade; Chael, Eric Paul; Hart, Darren M.; Merchant, Bion John; Chown, Matthew N.

    2004-08-01

    To make use of some portions of the National Nuclear Security Administration (NNSA) Knowledge Base (KB) for which no current operational monitoring applications were available, Sandia National Laboratories have developed a set of prototype regional analysis tools (MatSeis, EventID Tool, CodaMag Tool, PhaseMatch Tool, Dendro Tool, Infra Tool, etc.), and we continue to maintain and improve these. Individually, these tools have proven effective in addressing specific monitoring tasks, but collectively their number and variety tend to overwhelm KB users, so we developed another application - the KB Navigator - to launch the tools and facilitate their use for real monitoring tasks. The KB Navigator is a flexible, extensible java application that includes a browser for KB data content, as well as support to launch any of the regional analysis tools. In this paper, we will discuss the latest versions of KB Navigator and the regional analysis tools, with special emphasis on the new overarching inter-tool communication methodology that we have developed to make the KB Navigator and the tools function together seamlessly. We use a peer-to-peer communication model, which allows any tool to communicate with any other. The messages themselves are passed as serialized XML, and the conversion from Java to XML (and vice versa) is done using Java Architecture for XML Binding (JAXB).

  1. Talent, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Talent is a city in Jackson County, Oregon. It falls under Oregon's 2nd congressional district.12 References...

  2. System and method for knowledge based matching of users in a network

    DOE Patents [OSTI]

    Verspoor, Cornelia Maria; Sims, Benjamin Hayden; Ambrosiano, John Joseph; Cleland, Timothy James

    2011-04-26

    A knowledge-based system and methods to matchmaking and social network extension are disclosed. The system is configured to allow users to specify knowledge profiles, which are collections of concepts that indicate a certain topic or area of interest selected from an. The system utilizes the knowledge model as the semantic space within which to compare similarities in user interests. The knowledge model is hierarchical so that indications of interest in specific concepts automatically imply interest in more general concept. Similarity measures between profiles may then be calculated based on suitable distance formulas within this space.

  3. Knowledge-based sizing of cogeneration plant in buildings

    SciTech Connect (OSTI)

    Williams, J.M.; Griffiths, A.J.; Knight, I.P.

    1998-10-01

    Cogeneration is now accepted as a cost-effective and environmentally friendly means of meeting some of a building`s heating and power needs. Cogeneration plants have been installed in many buildings throughout the United Kingdom. Because of commercial pressures, building owners and cogeneration companies are keen to reduce the time and money involved in sizing units, and a decision support tool has been developed to aid the engineer in selecting the unit size. An initial assessment of the sizing can be made with only knowledge of the building`s type, size, and location, which enables the model to be used in new build situations. For an existing building, the accuracy of the predictions can then be progressively improved by providing more information about the building`s energy use, enabling the optimum unit to be identified. This paper briefly describes the model and demonstrates its use through an example feasibility study.

  4. The Network of Excellence 'Knowledge-based Multicomponent Materials for Durable and Safe Performance'

    SciTech Connect (OSTI)

    Moreno, Arnaldo

    2008-02-15

    The Network of Excellence 'Knowledge-based Multicomponent Materials for Durable and Safe Performance' (KMM-NoE) consists of 36 institutional partners from 10 countries representing leading European research institutes and university departments (25), small and medium enterprises, SMEs (5) and large industry (7) in the field of knowledge-based multicomponent materials (KMM), more specifically in intermetallics, metal-ceramic composites, functionally graded materials and thin layers. The main goal of the KMM-NoE (currently funded by the European Commission) is to mobilise and concentrate the fragmented scientific potential in the KMM field to create a durable and efficient organism capable of developing leading-edge research while spreading the accumulated knowledge outside the Network and enhancing the technological skills of the related industries. The long-term strategic goal of the KMM-NoE is to establish a self-supporting pan-European institution in the field of knowledge-based multicomponent materials--KMM Virtual Institute (KMM-VIN). It will combine industry oriented research with educational and training activities. The KMM Virtual Institute will be founded on three main pillars: KMM European Competence Centre, KMM Integrated Post-Graduate School, KMM Mobility Programme. The KMM-NoE is coordinated by the Institute of Fundamental Technological Research (IPPT) of the Polish Academy of Sciences, Warsaw, Poland.

  5. ISPE: A knowledge-based system for fluidization studies. 1990 Annual report

    SciTech Connect (OSTI)

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all ``specified goals`` are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  6. Knowledge based ranking algorithm for comparative assessment of post-closure care needs of closed landfills

    SciTech Connect (OSTI)

    Sizirici, Banu; Tansel, Berrin; Kumar, Vivek

    2011-06-15

    Post-closure care (PCC) activities at landfills include cap maintenance; water quality monitoring; maintenance and monitoring of the gas collection/control system, leachate collection system, groundwater monitoring wells, and surface water management system; and general site maintenance. The objective of this study was to develop an integrated data and knowledge based decision making tool for preliminary estimation of PCC needs at closed landfills. To develop the decision making tool, 11 categories of parameters were identified as critical areas which could affect future PCC needs. Each category was further analyzed by detailed questions which could be answered with limited data and knowledge about the site, its history, location, and site specific characteristics. Depending on the existing knowledge base, a score was assigned to each question (on a scale 1-10, as 1 being the best and 10 being the worst). Each category was also assigned a weight based on its relative importance on the site conditions and PCC needs. The overall landfill score was obtained from the total weighted sum attained. Based on the overall score, landfill conditions could be categorized as critical, acceptable, or good. Critical condition indicates that the landfill may be a threat to the human health and the environment and necessary steps should be taken. Acceptable condition indicates that the landfill is currently stable and the monitoring should be continued. Good condition indicates that the landfill is stable and the monitoring activities can be reduced in the future. The knowledge base algorithm was applied to two case study landfills for preliminary assessment of PCC performance.

  7. SU-E-P-43: A Knowledge Based Approach to Guidelines for Software Safety

    SciTech Connect (OSTI)

    Salomons, G; Kelly, D

    2015-06-15

    Purpose: In the fall of 2012, a survey was distributed to medical physicists across Canada. The survey asked the respondents to comment on various aspects of software development and use in their clinic. The survey revealed that most centers employ locally produced (in-house) software of some kind. The respondents also indicated an interest in having software guidelines, but cautioned that the realities of cancer clinics include variations, that preclude a simple solution. Traditional guidelines typically involve periodically repeating a set of prescribed tests with defined tolerance limits. However, applying a similar formula to software is problematic since it assumes that the users have a perfect knowledge of how and when to apply the software and that if the software operates correctly under one set of conditions it will operate correctly under all conditions Methods: In the approach presented here the personnel involved with the software are included as an integral part of the system. Activities performed to improve the safety of the software are done with both software and people in mind. A learning oriented approach is taken, following the premise that the best approach to safety is increasing the understanding of those associated with the use or development of the software. Results: The software guidance document is organized by areas of knowledge related to use and development of software. The categories include: knowledge of the underlying algorithm and its limitations; knowledge of the operation of the software, such as input values, parameters, error messages, and interpretation of output; and knowledge of the environment for the software including both data and users. Conclusion: We propose a new approach to developing guidelines which is based on acquiring knowledge-rather than performing tests. The ultimate goal is to provide robust software guidelines which will be practical and effective.

  8. Designing optimal transportation networks: a knowledge-based computer-aided multicriteria approach

    SciTech Connect (OSTI)

    Tung, S.I.

    1986-01-01

    The dissertation investigates the applicability of using knowledge-based expert systems (KBES) approach to solve the single-mode (automobile), fixed-demand, discrete, multicriteria, equilibrium transportation-network-design problem. Previous works on this problem has found that mathematical programming method perform well on small networks with only one objective. Needed is a solution technique that can be used on large networks having multiple, conflicting criteria with different relative importance weights. The KBES approach developed in this dissertation represents a new way to solve network design problems. The development of an expert system involves three major tasks: knowledge acquisition, knowledge representation, and testing. For knowledge acquisition, a computer aided network design/evaluation model (UFOS) was developed to explore the design space. This study is limited to the problem of designing an optimal transportation network by adding and deleting capacity increments to/from any link in the network. Three weighted criteria were adopted for use in evaluating each design alternative: cost, average V/C ratio, and average travel time.

  9. Knowledge-Based Parallel Performance Technology for Scientific Application Competitiveness Final Report

    SciTech Connect (OSTI)

    Malony, Allen D; Shende, Sameer

    2011-08-15

    The primary goal of the University of Oregon's DOE "œcompetitiveness" project was to create performance technology that embodies and supports knowledge of performance data, analysis, and diagnosis in parallel performance problem solving. The target of our development activities was the TAU Performance System and the technology accomplishments reported in this and prior reports have all been incorporated in the TAU open software distribution. In addition, the project has been committed to maintaining strong interactions with the DOE SciDAC Performance Engineering Research Institute (PERI) and Center for Technology for Advanced Scientific Component Software (TASCS). This collaboration has proved valuable for translation of our knowledge-based performance techniques to parallel application development and performance engineering practice. Our outreach has also extended to the DOE Advanced CompuTational Software (ACTS) collection and project. Throughout the project we have participated in the PERI and TASCS meetings, as well as the ACTS annual workshops.

  10. EM Taps Talent of Minority Serving Institutions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Taps Talent of Minority Serving Institutions EM Taps Talent of Minority Serving Institutions December 23, 2014 - 12:00pm Addthis A student explains an EM-supported applied research project to Mark Gilbertson, EM Deputy Assistant Secretary for Site Restoration, left, at a Historically Black Colleges and Universities workshop held at Savannah River National Laboratory in April 2014. A student explains an EM-supported applied research project to Mark Gilbertson, EM Deputy Assistant Secretary for

  11. Universities Provide Pipeline of Talent, Ideas, and Innovation | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Universities Provide Pipeline of Talent, Ideas, and Innovation Universities Provide Pipeline of Talent, Ideas, and Innovation February 17, 2016 - 11:07am Addthis Hyliion from Carnegie Mellon University won the 2015 top student DOE cleantech entrepreneur prize. Who will win in 2016? Hyliion from Carnegie Mellon University won the 2015 top student DOE cleantech entrepreneur prize. Who will win in 2016? Tomorrow marks the beginning of a very exciting collegiate season. No we aren't

  12. Parametric Grid Information in the DOE Knowledge Base: Data Preparation, Storage, and Access

    SciTech Connect (OSTI)

    HIPP,JAMES R.; MOORE,SUSAN G.; MYERS,STEPHEN C.; SCHULTZ,CRAIG A.; SHEPHERD,ELLEN; YOUNG,CHRISTOPHER J.

    1999-10-01

    The parametric grid capability of the Knowledge Base provides an efficient, robust way to store and access interpolatable information which is needed to monitor the Comprehensive Nuclear Test Ban Treaty. To meet both the accuracy and performance requirements of operational monitoring systems, we use a new approach which combines the error estimation of kriging with the speed and robustness of Natural Neighbor Interpolation (NNI). The method involves three basic steps: data preparation (DP), data storage (DS), and data access (DA). The goal of data preparation is to process a set of raw data points to produce a sufficient basis for accurate NNI of value and error estimates in the Data Access step. This basis includes a set of nodes and their connectedness, collectively known as a tessellation, and the corresponding values and errors that map to each node, which we call surfaces. In many cases, the raw data point distribution is not sufficiently dense to guarantee accurate error estimates from the NNI, so the original data set must be densified using a newly developed interpolation technique known as Modified Bayesian Kriging. Once appropriate kriging parameters have been determined by variogram analysis, the optimum basis for NNI is determined in a process they call mesh refinement, which involves iterative kriging, new node insertion, and Delauny triangle smoothing. The process terminates when an NNI basis has been calculated which will fir the kriged values within a specified tolerance. In the data storage step, the tessellations and surfaces are stored in the Knowledge Base, currently in a binary flatfile format but perhaps in the future in a spatially-indexed database. Finally, in the data access step, a client application makes a request for an interpolated value, which triggers a data fetch from the Knowledge Base through the libKBI interface, a walking triangle search for the containing triangle, and finally the NNI interpolation.

  13. A knowledge-based method for making restoration plan of bulk power system

    SciTech Connect (OSTI)

    Shimakura, K.; Inagaki, J.; Matsunoki, Y. (Hokkaido Univ., Sapporo (Japan). Faculty of Science); Ito, M.; Fukui, S.; Hori, S. (Mitsubishi Electric Corp., 1-1-2 Wadasaki-cho, Hyogo-ku, Kobe (JP))

    1992-05-01

    In this paper a knowledge-based method is proposed for use in event of power system outages. This method uses general-purpose restoration knowledge not dependent on pre-outage system states in order to generate post-restoration target systems in which post-outage systems are taken as initial states. Conventionally post-outage system states are formed to emulate as closely as possible pre-outage system states, with system operations performed only within blackout systems. Therefore, depending on the amount of pre-outage load, some outage loads may be experienced in the restored system. Proposed here is a method by which system operations in both blackout systems and sound systems are combined according to the amount of load in the pre-outage systems, so that post-restoration system states with minimal outage loads from post-outage systems will be generated. A prototype system incorporating actual power systems and utilizing this method was built and tested under simulated conditions. The effectiveness of the proposed system is discussed on the basis of the test results.

  14. Knowledge representation and the application of case-based reasoning in engineering design

    SciTech Connect (OSTI)

    Bhangal, J.S.; Esat, I.

    1996-12-31

    This paper is an assessment of the requirements in the application of Case-based Reasoning to Engineering Design. The methods in which a CBR system will assist a designer when he/she is presented with a problem specification and the various methods which need to be understood before attempting to build an such expert system are discussed here. The problem is two fold, firstly the methods of utilizing CBR are varied and secondly the method of representing the knowledge in design also needs to be established. How a design represented basically differs for each application and this is a decision which needs to be made when setting up the case memory but the methods used are discussed here. CBR itself can also be utilized in various ways and it has been seen from previous applications that a hybrid approach can produce the best results.

  15. Knowledge-based analysis of microarray gene expression data by using support vector machines

    SciTech Connect (OSTI)

    William Grundy; Manuel Ares, Jr.; David Haussler

    2001-06-18

    The authors introduce a method of functionally classifying genes by using gene expression data from DNA microarray hybridization experiments. The method is based on the theory of support vector machines (SVMs). SVMs are considered a supervised computer learning method because they exploit prior knowledge of gene function to identify unknown genes of similar function from expression data. SVMs avoid several problems associated with unsupervised clustering methods, such as hierarchical clustering and self-organizing maps. SVMs have many mathematical features that make them attractive for gene expression analysis, including their flexibility in choosing a similarity function, sparseness of solution when dealing with large data sets, the ability to handle large feature spaces, and the ability to identify outliers. They test several SVMs that use different similarity metrics, as well as some other supervised learning methods, and find that the SVMs best identify sets of genes with a common function using expression data. Finally, they use SVMs to predict functional roles for uncharacterized yeast ORFs based on their expression data.

  16. Proceedings of the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base

    SciTech Connect (OSTI)

    Chavez, Francesca C.; Mendius, E. Louise

    2003-09-23

    These proceedings contain papers prepared for the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base, held 23-25 September, 2003 in Tucson, Arizona. These papers represent the combined research related to ground-based nuclear explosion monitoring funded by the National Nuclear Security Administration (NNSA), Defense Threat Reduction Agency (DTRA), Air Force Research Laboratory (AFRL), US Army Space and Missile Defense Command, and other invited sponsors. The scientific objectives of the research are to improve the United States capability to detect, locate, and identify nuclear explosions. The purpose of the meeting is to provide the sponsoring agencies, as well as potential users, an opportunity to review research accomplished during the preceding year and to discuss areas of investigation for the coming year. For the researchers, it provides a forum for the exchange of scientific information toward achieving program goals, and an opportunity to discuss results and future plans. Paper topics include: seismic regionalization and calibration; detection and location of sources; wave propagation from source to receiver; the nature of seismic sources, including mining practices; hydroacoustic, infrasound, and radionuclide methods; on-site inspection; and data processing.

  17. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-09-01

    NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental and numerical benchmark data that can be used in V&V assessments and computational methods development, (4) Providing a searchable knowledge base of information, documents and data on V&V and UQ, and (5) Providing web-enabled applications, tools and utilities for V&V and UQ activities, data assessment and processing, and information and data searches. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the Consortium for Advanced Simulation of Light Water Reactors (CASL), the Nuclear Energy Advanced Modeling and Simulation (NEAMS), the Light Water Reactor Sustainability (LWRS), the Small Modular Reactors (SMR), and the Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve computational modeling and simulation (M&S) of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs. In addition, from the outset, NE-KAMS will support the use of computational M&S in the nuclear industry by developing guidelines and recommended practices aimed at quantifying the uncertainty and assessing the applicability of existing analysis models and methods. The NE-KAMS effort will initially focus on supporting the use of computational fluid dynamics (CFD) and thermal hydraulics (T/H) analysis for M&S of nuclear

  18. Fuzzy Linguistic Knowledge Based Behavior Extraction for Building Energy Management Systems

    SciTech Connect (OSTI)

    Dumidu Wijayasekara; Milos Manic

    2013-08-01

    Significant portion of world energy production is consumed by building Heating, Ventilation and Air Conditioning (HVAC) units. Thus along with occupant comfort, energy efficiency is also an important factor in HVAC control. Modern buildings use advanced Multiple Input Multiple Output (MIMO) control schemes to realize these goals. However, since the performance of HVAC units is dependent on many criteria including uncertainties in weather, number of occupants, and thermal state, the performance of current state of the art systems are sub-optimal. Furthermore, because of the large number of sensors in buildings, and the high frequency of data collection, large amount of information is available. Therefore, important behavior of buildings that compromise energy efficiency or occupant comfort is difficult to identify. This paper presents an easy to use and understandable framework for identifying such behavior. The presented framework uses human understandable knowledge-base to extract important behavior of buildings and present it to users via a graphical user interface. The presented framework was tested on a building in the Pacific Northwest and was shown to be able to identify important behavior that relates to energy efficiency and occupant comfort.

  19. A knowledge-based approach to the adaptive finite element analysis

    SciTech Connect (OSTI)

    Haghighi, K.; Kang, E.

    1995-12-31

    An automatic and knowledge-based finite element mesh generator (INTELMESH), which makes extensive use of interactive computer graphics techniques, has been developed. INTELMESH is designed for planar domains and axisymmetric 3-D structures of elasticity and heat transfer subjected to mechanical and thermal loading. It intelligently identifies the critical regions/points in the problem domain and utilizes the new concepts of substructuring and wave propagation to choose the proper mesh size for them. INTELMESH generates well-shaped triangular elements by applying triangulation and Laplacian smoothing procedures. The adaptive analysis involves the initial finite element analysis and an efficient a-posteriori error analysis and estimation. Once a problem is defined, the system automatically builds a finite element model and analyzes the problem through an automatic iterative process until the error reaches a desired level. It has been shown that the proposed approach which initiates the process with an a-priori, and near optimum mesh of the object, converges to the desired accuracy in less time and at less cost.

  20. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational Genomics

    SciTech Connect (OSTI)

    Joshi, Trupti; Patil, Kapil; Fitzpatrick, Michael R.; Franklin, Levi D.; Yao, Qiuming; Cook, Jeffrey R.; Wang, Zhem; Libault, Marc; Brechenmacher, Laurent; Valliyodan, Babu; Wu, Xiaolei; Cheng, Jianlin; Stacey, Gary; Nguyen, Henry T.; Xu, Dong

    2012-01-17

    Background: Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for soybean translational genomics. SoyKB is designed to handle the management and integration of soybean genomics, transcriptomics, proteomics and metabolomics data along with annotation of gene function and biological pathway. It contains information on four entities, namely genes, microRNAs, metabolites and single nucleotide polymorphisms (SNPs). Methods: SoyKB has many useful tools such as Affymetrix probe ID search, gene family search, multiple gene/ metabolite search supporting co-expression analysis, and protein 3D structure viewer as well as download and upload capacity for experimental data and annotations. It has four tiers of registration, which control different levels of access to public and private data. It allows users of certain levels to share their expertise by adding comments to the data. It has a user-friendly web interface together with genome browser and pathway viewer, which display data in an intuitive manner to the soybean researchers, producers and consumers. Conclusions: SoyKB addresses the increasing need of the soybean research community to have a one-stop-shop functional and translational omics web resource for information retrieval and analysis in a user-friendly way. SoyKB can be publicly accessed at http://soykb.org/.

  1. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-10-01

    The Nuclear Energy Computational Fluid Dynamics Advanced Modeling and Simulation (NE-CAMS) system is being developed at the Idaho National Laboratory (INL) in collaboration with Bettis Laboratory, Sandia National Laboratory (SNL), Argonne National Laboratory (ANL), Utah State University (USU), and other interested parties with the objective of developing and implementing a comprehensive and readily accessible data and information management system for computational fluid dynamics (CFD) verification and validation (V&V) in support of nuclear energy systems design and safety analysis. The two key objectives of the NE-CAMS effort are to identify, collect, assess, store and maintain high resolution and high quality experimental data and related expert knowledge (metadata) for use in CFD V&V assessments specific to the nuclear energy field and to establish a working relationship with the U.S. Nuclear Regulatory Commission (NRC) to develop a CFD V&V database, including benchmark cases, that addresses and supports the associated NRC regulations and policies on the use of CFD analysis. In particular, the NE-CAMS system will support the Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program, which aims to develop and deploy advanced modeling and simulation methods and computational tools for reliable numerical simulation of nuclear reactor systems for design and safety analysis. Primary NE-CAMS Elements There are four primary elements of the NE-CAMS knowledge base designed to support computer modeling and simulation in the nuclear energy arena as listed below. Element 1. The database will contain experimental data that can be used for CFD validation that is relevant to nuclear reactor and plant processes, particularly those important to the nuclear industry and the NRC. Element 2. Qualification standards for data evaluation and classification will be incorporated and applied such that validation data sets will result in well

  2. Knowledge-based prediction of plan quality metrics in intracranial stereotactic radiosurgery

    SciTech Connect (OSTI)

    Shiraishi, Satomi; Moore, Kevin L.; Tan, Jun; Olsen, Lindsey A.

    2015-02-15

    Purpose: The objective of this work was to develop a comprehensive knowledge-based methodology for predicting achievable dose–volume histograms (DVHs) and highly precise DVH-based quality metrics (QMs) in stereotactic radiosurgery/radiotherapy (SRS/SRT) plans. Accurate QM estimation can identify suboptimal treatment plans and provide target optimization objectives to standardize and improve treatment planning. Methods: Correlating observed dose as it relates to the geometric relationship of organs-at-risk (OARs) to planning target volumes (PTVs) yields mathematical models to predict achievable DVHs. In SRS, DVH-based QMs such as brain V{sub 10Gy} (volume receiving 10 Gy or more), gradient measure (GM), and conformity index (CI) are used to evaluate plan quality. This study encompasses 223 linear accelerator-based SRS/SRT treatment plans (SRS plans) using volumetric-modulated arc therapy (VMAT), representing 95% of the institution’s VMAT radiosurgery load from the past four and a half years. Unfiltered models that use all available plans for the model training were built for each category with a stratification scheme based on target and OAR characteristics determined emergently through initial modeling process. Model predictive accuracy is measured by the mean and standard deviation of the difference between clinical and predicted QMs, δQM = QM{sub clin} − QM{sub pred}, and a coefficient of determination, R{sup 2}. For categories with a large number of plans, refined models are constructed by automatic elimination of suspected suboptimal plans from the training set. Using the refined model as a presumed achievable standard, potentially suboptimal plans are identified. Predictions of QM improvement are validated via standardized replanning of 20 suspected suboptimal plans based on dosimetric predictions. The significance of the QM improvement is evaluated using the Wilcoxon signed rank test. Results: The most accurate predictions are obtained when plans are

  3. Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction

    SciTech Connect (OSTI)

    Eck, Brendan L.; Fahmi, Rachid; Miao, Jun; Brown, Kevin M.; Zabic, Stanislav; Raihani, Nilgoun; Wilson, David L.

    2015-10-15

    Purpose: Aims in this study are to (1) develop a computational model observer which reliably tracks the detectability of human observers in low dose computed tomography (CT) images reconstructed with knowledge-based iterative reconstruction (IMR™, Philips Healthcare) and filtered back projection (FBP) across a range of independent variables, (2) use the model to evaluate detectability trends across reconstructions and make predictions of human observer detectability, and (3) perform human observer studies based on model predictions to demonstrate applications of the model in CT imaging. Methods: Detectability (d′) was evaluated in phantom studies across a range of conditions. Images were generated using a numerical CT simulator. Trained observers performed 4-alternative forced choice (4-AFC) experiments across dose (1.3, 2.7, 4.0 mGy), pin size (4, 6, 8 mm), contrast (0.3%, 0.5%, 1.0%), and reconstruction (FBP, IMR), at fixed display window. A five-channel Laguerre–Gauss channelized Hotelling observer (CHO) was developed with internal noise added to the decision variable and/or to channel outputs, creating six different internal noise models. Semianalytic internal noise computation was tested against Monte Carlo and used to accelerate internal noise parameter optimization. Model parameters were estimated from all experiments at once using maximum likelihood on the probability correct, P{sub C}. Akaike information criterion (AIC) was used to compare models of different orders. The best model was selected according to AIC and used to predict detectability in blended FBP-IMR images, analyze trends in IMR detectability improvements, and predict dose savings with IMR. Predicted dose savings were compared against 4-AFC study results using physical CT phantom images. Results: Detection in IMR was greater than FBP in all tested conditions. The CHO with internal noise proportional to channel output standard deviations, Model-k4, showed the best trade-off between fit

  4. A survey of Existing V&V, UQ and M&S Data and Knowledge Bases in Support of the Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Hyung Lee; Rich Johnson, Ph.D.; Kimberlyn C. Moussesau

    2011-12-01

    The Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Oak Ridge National Laboratory, Utah State University and others. The objective of this consortium is to establish a comprehensive knowledge base to provide Verification and Validation (V&V) and Uncertainty Quantification (UQ) and other resources for advanced modeling and simulation (M&S) in nuclear reactor design and analysis. NE-KAMS will become a valuable resource for the nuclear industry, the national laboratories, the U.S. NRC and the public to help ensure the safe operation of existing and future nuclear reactors. A survey and evaluation of the state-of-the-art of existing V&V and M&S databases, including the Department of Energy and commercial databases, has been performed to ensure that the NE-KAMS effort will not be duplicating existing resources and capabilities and to assess the scope of the effort required to develop and implement NE-KAMS. The survey and evaluation have indeed highlighted the unique set of value-added functionality and services that NE-KAMS will provide to its users. Additionally, the survey has helped develop a better understanding of the architecture and functionality of these data and knowledge bases that can be used to leverage the development of NE-KAMS.

  5. Ontology Language to Support Description of Experiment Control System Semantics, Collaborative Knowledge-Base Design and Ontology Reuse

    SciTech Connect (OSTI)

    Vardan Gyurjyan, D Abbott, G Heyes, E Jastrzembski, B Moffit, C Timmer, E Wolin

    2009-10-01

    In this paper we discuss the control domain specific ontology that is built on top of the domain-neutral Resource Definition Framework (RDF). Specifically, we will discuss the relevant set of ontology concepts along with the relationships among them in order to describe experiment control components and generic event-based state machines. Control Oriented Ontology Language (COOL) is a meta-data modeling language that provides generic means for representation of physics experiment control processes and components, and their relationships, rules and axioms. It provides a semantic reference frame that is useful for automating the communication of information for configuration, deployment and operation. COOL has been successfully used to develop a complete and dynamic knowledge-base for experiment control systems, developed using the AFECS framework.

  6. High Level Requirements for the Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Hyung Lee; Kimberlyn C. Mousseau

    2011-09-01

    The US Department of Energy, Office of Nuclear Energy (DOE-NE), has been tasked with the important mission of ensuring that nuclear energy remains a compelling and viable energy source in the U.S. The motivations behind this mission include cost-effectively meeting the expected increases in the power needs of the country, reducing carbon emissions and reducing dependence on foreign energy sources. In the near term, to ensure that nuclear power remains a key element of U.S. energy strategy and portfolio, the DOE-NE will be working with the nuclear industry to support safe and efficient operations of existing nuclear power plants. In the long term, to meet the increasing energy needs of the U.S., the DOE-NE will be investing in research and development (R&D) and working in concert with the nuclear industry to build and deploy new, safer and more efficient nuclear power plants. The safe and efficient operations of existing nuclear power plants and designing, licensing and deploying new reactor designs, however, will require focused R&D programs as well as the extensive use and leveraging of advanced modeling and simulation (M&S). M&S will play a key role in ensuring safe and efficient operations of existing and new nuclear reactors. The DOE-NE has been actively developing and promoting the use of advanced M&S in reactor design and analysis through its R&D programs, e.g., the Nuclear Energy Advanced Modeling and Simulation (NEAMS) and Consortium for Advanced Simulation of Light Water Reactors (CASL) programs. Also, nuclear reactor vendors are already using CFD and CSM, for design, analysis, and licensing. However, these M&S tools cannot be used with confidence for nuclear reactor applications unless accompanied and supported by verification and validation (V&V) and uncertainty quantification (UQ) processes and procedures which provide quantitative measures of uncertainty for specific applications. The Nuclear Energy Knowledge base for Advanced Modeling and Simulation

  7. Guidelines for the verification and validation of expert system software and conventional software: Evaluation of knowledge base certification methods. Volume 4

    SciTech Connect (OSTI)

    Miller, L.A.; Hayes, J.E.; Mirsky, S.M.

    1995-03-01

    This report presents the results of the Knowledge Base Certification activity of the expert systems verification and validation (V&V) guideline development project which is jointly funded by the US Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. This activity is concerned with the development and testing of various methods for assuring the quality of knowledge bases. The testing procedure used was that of behavioral experiment, the first known such evaluation of any type of V&V activity. The value of such experimentation is its capability to provide empirical evidence for -- or against -- the effectiveness of plausible methods in helping people find problems in knowledge bases. The three-day experiment included 20 participants from three nuclear utilities, the Nuclear Regulatory Commission`s Technical training Center, the University of Maryland, EG&G Idaho, and SAIC. The study used two real nuclear expert systems: a boiling water reactor emergency operating procedures tracking system and a pressurized water reactor safety assessment systems. Ten participants were assigned to each of the expert systems. All participants were trained in and then used a sequence of four different V&V methods selected as being the best and most appropriate for study on the basis of prior evaluation activities. These methods either involved the analysis and tracing of requirements to elements in the knowledge base (requirements grouping and requirements tracing) or else involved direct inspection of the knowledge base for various kinds of errors. Half of the subjects within each system group used the best manual variant of the V&V methods (the control group), while the other half were supported by the results of applying real or simulated automated tools to the knowledge bases (the experimental group).

  8. Knowledge information management toolkit and method

    DOE Patents [OSTI]

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15

    A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

  9. Deploying Federal Talent to Build the Future STEM Workforce | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Deploying Federal Talent to Build the Future STEM Workforce Deploying Federal Talent to Build the Future STEM Workforce February 10, 2014 - 11:14am Addthis Federal employees from all agencies were invited to attend the First Annual STEM Volunteer Fair at the Department of Energy on February 5, 2014, hosted by the Office of Economic Impact and Diversity. I Photo by Matty Greene, U.S. Department of Energy Federal employees from all agencies were invited to attend the First Annual STEM

  10. Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS) Code Verification and Validation Data Standards and Requirements: Fluid Dynamics Version 1.0

    SciTech Connect (OSTI)

    Greg Weirs; Hyung Lee

    2011-09-01

    V&V and UQ are the primary means to assess the accuracy and reliability of M&S and, hence, to establish confidence in M&S. Though other industries are establishing standards and requirements for the performance of V&V and UQ, at present, the nuclear industry has not established such standards or requirements. However, the nuclear industry is beginning to recognize that such standards are needed and that the resources needed to support V&V and UQ will be very significant. In fact, no single organization has sufficient resources or expertise required to organize, conduct and maintain a comprehensive V&V and UQ program. What is needed is a systematic and standardized approach to establish and provide V&V and UQ resources at a national or even international level, with a consortium of partners from government, academia and industry. Specifically, what is needed is a structured and cost-effective knowledge base that collects, evaluates and stores verification and validation data, and shows how it can be used to perform V&V and UQ, leveraging collaboration and sharing of resources to support existing engineering and licensing procedures as well as science-based V&V and UQ processes. The Nuclear Energy Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Utah State University and others with the objective of establishing a comprehensive and web-accessible knowledge base to provide V&V and UQ resources for M&S for nuclear reactor design, analysis and licensing. The knowledge base will serve as an important resource for technical exchange and collaboration that will enable credible and reliable computational models and simulations for application to nuclear power. NE-KAMS will serve as a valuable resource for the nuclear industry, academia, the national laboratories, the U.S. Nuclear Regulatory Commission (NRC) and

  11. On Womens Equality Day, we celebrate NNSA's talented Women in STEM |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration | (NNSA) On Womens Equality Day, we celebrate NNSA's talented Women in STEM Friday, August 26, 2016 - 4:07pm Related Topics lanl Lawrence Livermore National Laboratory llnl Los alamos national laboratory naval reactors nr pantex Pantex Plant Sandia National Laboratories Savannah river site snl srs STEM Y-12 National Security Complex y12 Related News Former Army Ranger wins Sandia-sponsored student of the year award NNSA engineer teaches young people

  12. Free Legal Services - Attracting Legal Talent for Public Involvement Groups

    SciTech Connect (OSTI)

    Domby, A.H.

    2007-07-01

    This paper reviews the public service responsibilities of lawyers, and how they can fulfill the annual goal of performing pro bono services by serving certain public involvement groups, including organization involved in Constitutional issues and environmental protection matters. Public involvement groups should consider their needs for legal services and consider soliciting lawyers to serve on their boards or to volunteer legal services which will assist those lawyers in fulfilling their professional obligations under Rules of Professional Conduct. The group should identify specific activities and tasks that require the skills and training of a lawyer, including corporate governance issues; conflict-of-interest questions; the statutory construction of laws, regulations and ordinances; or analysis of potential liability. The addition of a lawyer to advisory boards for governmental agencies and for non-profit boards of charitable, religious, civic, community, environmental and educational organizations may provide those boards with knowledge, analytical approaches and insights that complement the abilities of other board members. Rules of Professional Conduct applicable to lawyers include admonitions for lawyers to provide 'Public Service'. Representative of many rules, the American Bar Association Model Rule 6.1, entitled 'Voluntary Pro Bono Publico Service' addresses every lawyer's professional responsibility to provide legal services to those 'unable to pay'. This Model Rule exhorts each lawyer to provide fifty (50) hours of legal services without fee or expectation of fee to persons of limited means or charitable, religious or civic, community, governmental and educational organizations or to individuals, groups or organizations seeking 'to secure or protect civil rights, civil liberties, or public rights, or charitable, religious, civic, community, governmental and educational organizations in matters in furtherance of their purposes, where the payment of

  13. Deactivation & Decommissioning Knowledge Management Information...

    Energy Savers [EERE]

    The D&D Knowledge Management Information Tool (KM-IT) is a web-based information tool to ... The D&D KM-IT has been developed through the application of state-of-the-art web ...

  14. D&D Knowledge Management Information Tool

    Office of Environmental Management (EM)

    Directory Web Conference D&D Knowledge Management Information Tool www.dndkm.org Himanshu Upadhyay Research Scientist June 27, 2012 D&D KM-IT WWW.DNDKM.ORG A web-based knowledge ...

  15. A knowledge based system for economic analysis and risk assessment of subsea development scenarios for small oilfields in the North Sea

    SciTech Connect (OSTI)

    Dyer, N.J.; Ford, J.T.; Tweedie, A.

    1996-12-31

    The decision to develop a small (<100 mmbbls) oilfield in the UK sector of the Central/Northern North Sea requires a careful assessment of all aspects of the field development plan: the reservoir model (reserves and production profile); capital and operating costs; and the current economic climate (oil price, interest rates, tax regime etc). This paper describes the development of a knowledge based software package that allows a quick look assessment of the overall economics and risk profile associated with the development of small oilfields in this region. It is a modular system that uses a cost database, cost adjustment algorithms, cash flow analysis engine and simulation procedures to integrate and analyze the impact of reservoir and production characteristics costs (capex and opex) and economic factors on the decision to develop such a field. The production system configurations considered by the system are: (1) an unmanned wellhead platform tied back to a third party platform for fluid processing/export, (2) an FPSO with oil export via a shuttle tanker and gas export via a tie-in to the existing North Sea gas pipeline infrastructure, and (3) a straight tie-back from a group of subsea wells to a third party platform for fluid processing/export.

  16. SU-E-P-58: Dosimetric Study of Conventional Intensity-Modulated Radiotherapy and Knowledge-Based Radiation Therapy for Postoperation of Cervix Cancer

    SciTech Connect (OSTI)

    Ma, C; Yin, Y

    2015-06-15

    Purpose: To compare the dosimetric difference of the target volume and organs at risk(OARs) between conventional intensity-modulated radiotherapy(C-IMRT) and knowledge-based radiation therapy (KBRT) plans for cervix cancer. Methods: 39 patients with cervical cancer after surgery were randomly selected, 20 patient plans were used to create the model, the other 19 cases used for comparative evaluation. All plans were designed in Eclipse system. The prescription dose was 30.6Gy, 17 fractions, OARs dose satisfied to the clinical requirement. A paired t test was used to evaluate the differences of dose-volume histograms (DVH). Results: Comparaed to C-IMRT plan, the KBRT plan target can achieve the similar target dose coverage, D98,D95,D2,HI and CI had no difference (P≥0.05). The dose of rectum, bladder and femoral heads had no significant differences(P≥0.05). The time was used to design treatment plan was significant reduced. Conclusion: This study shows that postoperative radiotherapy of cervical KBRT plans can achieve the similar target and OARs dose, but the shorter designing time.

  17. ARM - Traditional Knowledge

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    HomeroomTraditional Knowledge Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Traditional Knowledge An elder from Nauru is interviewed for the TWP kiosks. An elder from Nauru is interviewed for the TWP kiosks. Traditional knowledge can be defined as a cumulative body of knowledge and

  18. Spatial Knowledge Capture Library

    Energy Science and Technology Software Center (OSTI)

    2005-05-16

    The Spatial Knowledge Capture Library is a set of algorithms to capture regularities in shapes and trajectories through space and time. We have applied Spatial Knowledge Capture to model the actions of human experts in spatial domains, such as an AWACS Weapons Director task simulation. The library constructs a model to predict the expert’s response to sets of changing cues, such as the movements and actions of adversaries on a battlefield, The library includes amore » highly configurable feature extraction functionality, which supports rapid experimentation to discover causative factors. We use k-medoid clustering to group similar episodes of behavior, and construct a Markov model of system state transitions induced by agents’ actions.« less

  19. Velo: Knowledge and Tool

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Velo: Knowledge and Tool Integration for Collaborative Scientific Projects Carina Lansing, Kerstin Kleese van Dam 1 Scientific Project Life Cycle 2 Conceptual Modeling Simulation Execution Visualization & Analytics Data Input Data Uncertainty Quantification Validation, Diagnostics, & Monitoring Reference Data / Data Mining Challenges to Scientists ! Has someone done something similar before? Is there a good example? ! How do I find the information I need? ! What are the best tools to

  20. Advancing the Hydrogen Safety Knowledge Base

    SciTech Connect (OSTI)

    Weiner, Steven C.

    2014-12-01

    A White Paper of the International Energy Agency Hydrogen Implementing Agreement Task 31 - Hydrogen Safety

  1. Robust automated knowledge capture.

    SciTech Connect (OSTI)

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  2. Knowledge Encapsulation Framework for Collaborative Social Modeling

    SciTech Connect (OSTI)

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-03-24

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable knowledge inputs (relevant, domain-specific facts) to modeling and simulation projects, as well as other domains that require effective collaborative workspaces for knowledge-based task. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  3. Passport to Knowledge | Open Energy Information

    Open Energy Info (EERE)

    Passport to Knowledge Jump to: navigation, search Logo: Passport to Knowledge Name: Passport to Knowledge Place: Morristown, New Jersey Region: Northeast - NY NJ CT PA Area...

  4. SU-E-T-357: Semi-Automated Knowledge-Based Radiation Therapy (KBRT) Planning for Head-And-Neck Cancer (HNC): Can KBRT Plans Achieve Better Results Than Manual Planning?

    SciTech Connect (OSTI)

    Lutzky, C; Grzetic, S; Lo, J; Das, S

    2014-06-01

    Purpose: Knowledge Based Radiation Therapy Treatment (KBRT) planning can be used to semi-automatically generate IMRT plans for new patients using constraints derived from previously manually-planned, geometrically similar patients. We investigate whether KBRT plans can achieve greater dose sparing than manual plans using optimized, organspecific constraint weighting factors. Methods: KBRT planning of HNC radiotherapy cases geometrically matched each new (query) case to one of the 105 clinically approved plans in our database. The dose distribution of the planned match was morphed to fit the querys geometry. Dose-volume constraints extracted from the morphed dose distribution were used to run the IMRT optimization with no user input. In the first version, all constraints were multiplied by a weighting factor of 0.7. The weighting factors were then systematically optimized (in order of OARs with increasing separation from the target) to maximize sparing to each OAR without compromising other OARs. The optimized, second version plans were compared against the first version plans and the clinically approved plans for 45 unilateral/bilateral target cases using the dose metrics: mean, median and maximum (brainstem and cord) doses. Results: Compared to the first version, the second version significantly reduced mean/median contralateral parotid doses (>2Gy) for bilateral cases. Other changes between the two versions were not clinically meaningful. Compared to the original clinical plans, both bilateral and unilateral plans in the second version had lower average dose metrics for 5 of the 6 OARs. Compared to the original plans, the second version achieved dose sparing that was at least as good for all OARs and better for the ipsilateral parotid (bilateral) and oral cavity (bilateral/unilateral). Differences in planning target volume coverage metrics were not clinically significant. Conclusion: HNC-KBRT planning generated IMRT plans with at least equivalent dose sparing to

  5. Knowledge Signatures for Information Integration

    SciTech Connect (OSTI)

    Thomson, Judi; Cowell, Andrew J.; Paulson, Patrick R.; Butner, R. Scott; Whiting, Mark A.

    2003-10-25

    This paper introduces the notion of a knowledge signature: a concise, ontologically-driven representation of the semantic characteristics of data. Knowledge signatures provide programmatic access to data semantics while allowing comparisons to be made across different types of data such as text, images or video, enabling efficient, automated information integration. Through observation, which determines the degree of association between data and ontological concepts, and refinement, which uses the axioms and structure of the domain ontology to place the signature more accurately within the context of the domain, knowledge signatures can be created. A comparison of such signatures for two different pieces of data results in a measure of their semantic separation. This paper discusses the definition of knowledge signatures along with the design and prototype implementation of a knowledge signature generator.

  6. Endovascular Aortic Aneurysm Repair with the Talent Stent-Graft: Outcomes in Patients with Large Iliac Arteries

    SciTech Connect (OSTI)

    England, Andrew; Butterfield, John S.; McCollum, Charles N.; Ashleigh, Raymond J.

    2008-07-15

    The purpose of this study is to report outcomes following endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm (AAA) in patients with ectatic common iliac arteries (CIAs). Of 117 AAA patients treated by EVAR between 1998 and 2005, 87 (74%) had CIAs diameters <18 mm and 30 (26%) patients had one or more CIA diameters >18 but <25 mm. All patients were treated with Talent stent-grafts, 114 bifurcated and 3 AUI devices. Departmental databases and patient records were reviewed to assess outcomes. Technical success, iliac-related outcome, and iliac-related reintervention (IRSI) were analyzed. Patients with EVAR extending into the external iliac artery were excluded. Median (range) follow-up for the study group was 24 (1-84) months. Initial technical success was 98% for CIAs <18 mm and 100% for CIAs {>=}18 mm (p = 0.551). There were three distal type I endoleaks (two in the ectatic group) and six iliac limb occlusions (one in an ectatic patient); there were no statistically significant differences between groups (p = 0.4). There were nine IRSIs (three stent-graft extensions, six femorofemoral crossover grafts); three of these patients had one or both CIAs {>=}18 mm (p = 0.232). One-year freedom from IRSI was 92% {+-} 3% and 84% {+-} 9% for the <18-mm and {>=}18-mm CIA groups, respectively (p = 0.232). We conclude that the treatment of AAA by EVAR in patients with CIAs 18-24 mm appears to be safe and effective, however, it may be associated with more frequent reinterventions.

  7. The Digital Road to Scientific Knowledge Diffusion

    Office of Scientific and Technical Information (OSTI)

    Digital Road to Scientific Knowledge Diffusion A Faster, Better Way to Scientific Progress? By David E. Wojick, Walter L. Warnick, Bonnie C. Carroll, and June Crowe Introduction With the United States federal government spending over $130 billion annually for research and development, ways to increase the productivity of that research can have a significant return on investment. It is well known that all scientific advancement is based on work that has come before. Isaac Newton expressed this

  8. To the Cloud! Apidae Helps Modelers Turn Information into Knowledge |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy To the Cloud! Apidae Helps Modelers Turn Information into Knowledge To the Cloud! Apidae Helps Modelers Turn Information into Knowledge October 26, 2015 - 2:41pm Addthis Apidae is a collection of cloud-based simulation and data analysis tools that help modelers better understand their models. Image credit: BUILDlab. Apidae is a collection of cloud-based simulation and data analysis tools that help modelers better understand their models. Image credit: BUILDlab. Apidae

  9. Central Characterization Program (CCP), Acceptable Knowledge...

    Office of Environmental Management (EM)

    , Acceptable Knowledge Summary Report for Los Alamos National Laboratory, TA-55 Mixed Transuranic Waste Streams Central Characterization Program (CCP), Acceptable Knowledge Summary...

  10. UCEAO: Energy Knowledge Bank | Open Energy Information

    Open Energy Info (EERE)

    UCEAO: Energy Knowledge Bank Jump to: navigation, search Name: UCEAO: Energy Knowledge Bank Place: Ohio Website: knowledgebank.uso.edu References: University Clean Energy Alliance...

  11. Hydrogen Knowledge and Opinions Assessment

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2008-2009 DOE Hydrogen Program: Hydrogen Knowledge and Opinions Assessment Rick Schmoyer Oak Ridge National Laboratory May 21, 2009 Project ID # edp_02_schmoyer This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Managed by UT-Battelle for the Department of Energy Overview * Start: April 2003 * End: 2012 (currently in "Phase II") * Percent complete: ~75% B. Mixed Messages E. Regional Differences F. Difficulty of Measuring Success *

  12. Workplan and Annex: Solar Resource Knowledge Management

    SciTech Connect (OSTI)

    Renne, D.

    2005-01-01

    ''Solar Resource Knowledge Management'' will be a new task under the International Energy Agency's Solar Heating and Cooling Programme. The task development has involved researchers from Germany, France, Switzerland, Spain, Portugal, Italy, Canada, the U.S. that have been engaged in the use of satellite imagery to develop solar resource maps and datasets around the world. The task will address three major areas: (1) ''Benchmarking'' of satellite-based solar resource methods so that resource information derived from approaches developed in one country or based on a specific satellite can be quantitatively intercompared with methods from other countries using different satellites, as well as with ground data; (2) Data archiving and dissemination procedures, especially focusing on access to the data by end users; and (3) basic R&D for improving the reliability and usability of the data, and for examining new types of products important to the solar industry, such as solar resource forecasts.

  13. 'Big Data' Collaboration: Exploring, Recording and Sharing Enterprise Knowledge

    SciTech Connect (OSTI)

    Sukumar, Sreenivas R; Ferrell, Regina Kay

    2013-01-01

    As data sources and data size proliferate, knowledge discovery from "Big Data" is starting to pose several challenges. In this paper, we address a specific challenge in the practice of enterprise knowledge management while extracting actionable nuggets from diverse data sources of seemingly-related information. In particular, we address the challenge of archiving knowledge gained through collaboration, dissemination and visualization as part of the data analysis, inference and decision-making lifecycle. We motivate the implementation of an enterprise data-discovery and knowledge recorder tool, called SEEKER based on real world case-study. We demonstrate SEEKER capturing schema and data-element relationships, tracking the data elements of value based on the queries and the analytical artifacts that are being created by analysts as they use the data. We show how the tool serves as digital record of institutional domain knowledge and a documentation for the evolution of data elements, queries and schemas over time. As a knowledge management service, a tool like SEEKER saves enterprise resources and time by avoiding analytic silos, expediting the process of multi-source data integration and intelligently documenting discoveries from fellow analysts.

  14. D and D Knowledge Management Information Tool - 2012 - 12106

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2012-07-01

    Deactivation and decommissioning (D and D) work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with the different ALARA (As-Low-As-Reasonably-Achievable) Centers, DOE sites, Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. D and D KM-IT provides single point access to all D and D related activities through its knowledge base. It is a community driven system. D and D KM-IT makes D and D knowledge available to the people who need it at the time they need it and in a readily usable format. It uses the World Wide Web as the primary source for content in addition to information collected from subject matter specialists and the D and D community. It brings information in real time through web based custom search processes and its dynamic knowledge repository. Future developments include developing a document library, providing D and D information access on mobile devices for the Technology module and Hotline, and coordinating multiple subject matter specialists to support the Hotline. The goal is to deploy a high-end sophisticated and secured system to serve as a single large knowledge base for all the D and D activities. The system consolidates a large amount of information available on the web and presents it to users in the simplest way possible. (authors)

  15. Data structures and apparatuses for representing knowledge

    DOE Patents [OSTI]

    Hohimer, Ryan E; Thomson, Judi R; Harvey, William J; Paulson, Patrick R; Whiting, Mark A; Tratz, Stephen C; Chappell, Alan R; Butner, Robert S

    2014-02-18

    Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

  16. The Digital Road to Scientific Knowledge Diffusion

    Office of Scientific and Technical Information (OSTI)

    ... data and textual information; and 4. Modeling scientific exchange in the research process. ... for conceptual context and the importance of reviewing the body of knowledge that exists. ...

  17. The Bioenergy Knowledge Discovery Framework (KDF) | Department...

    Office of Environmental Management (EM)

    The KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of ...

  18. SEB Secretariat and Knowledge Manager | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    SEB Secretariat and Knowledge Manager SEB Secretariat and Knowledge Manager PDF icon SEB Secretariat and Knowledge Manager More Documents & Publications Source Selection Chapter 15...

  19. United Nations Energy Knowledge Network (UN-Energy) | Open Energy...

    Open Energy Info (EERE)

    Energy Knowledge Network (UN-Energy) Jump to: navigation, search Logo: United Nations Energy Knowledge Network (UN-Energy) Name: United Nations Energy Knowledge Network (UN-Energy)...

  20. World Bank-Climate Change Knowledge Portal | Open Energy Information

    Open Energy Info (EERE)

    Climate Change Knowledge Portal Jump to: navigation, search Logo: World Bank-Climate Change Knowledge Portal Name World Bank-Climate Change Knowledge Portal AgencyCompany...

  1. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  2. Knowledge Framework Implementation with Multiple Architectures - 13090

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2013-07-01

    Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework and architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)

  3. Prior-knowledge-based spectral mixture analysis for impervious...

    Office of Scientific and Technical Information (OSTI)

    First, an urban area was categorized into high- and low-density urban areas, using a multi-step classification method. Next, in high-density urban areas that were assumed to have ...

  4. WEB-BASED RESOURCES ENHANCE HYDROGEN SAFETY KNOWLEDGE

    SciTech Connect (OSTI)

    Weiner, Steven C.; Fassbender, Linda L.; Blake, Chad; Aceves, Salvador; Somerday, Brian P.; Ruiz, Antonio

    2013-06-18

    The U.S. Department of Energys Fuel Cell Technologies Program addresses key technical challenges and institutional barriers facing the development and deployment of hydrogen and fuel cell technologies with the goal of decreasing dependence on oil, reducing carbon emissions and enabling reliable power generation. The Safety, Codes & Standards program area seeks to develop and implement the practices and procedures that will ensure safety in the operation, handling and use of hydrogen and hydrogen systems for all projects and utilize these practices and lessons learned to promote the safe use of hydrogen. Enabling the development of codes and standards for the safe use of hydrogen in energy applications and facilitating the development and harmonization of international codes and standards are integral to this work.

  5. Offshore Energy Knowledge Exchange Workshop Report

    SciTech Connect (OSTI)

    none,

    2012-04-12

    A report detailing the presentations and topics discussed at the Offshore Energy Knowledge Exchange Workshop, an event designed to bring together offshore energy industry representatives to share information, best practices, and lessons learned.

  6. Hydrogen Safety Knowledge Tools | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Safety Knowledge Tools Hydrogen Safety Knowledge Tools 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. scs_04_fassbender.pdf (985.09 KB) More Documents & Publications What Can We Learn from Hydrogen Safety Event Databases? H2 Safety Snapshot, Vol. 1, Issue 1, April 2009 H2 Refuel H-Prize Safety Guidance Webinar H2 Refuel H-Prize Safety Guidance

  7. Drainage Algorithm for Geospatial Knowledge

    Energy Science and Technology Software Center (OSTI)

    2006-08-15

    The Pacific Northwest National Laboratory (PNNL) has developed a prototype stream extraction algorithm that semi-automatically extracts and characterizes streams using a variety of multisensor imagery and digital terrain elevation data (DTED) data. The system is currently optimized for three types of single-band imagery: radar, visible, and thermal. Method of Solution: DRAGON: (1) classifies pixels into clumps of water objects based on the classification of water pixels by spectral signatures and neighborhood relationships, (2) uses themore » morphology operations (erosion and dilation) to separate out large lakes (or embayment), isolated lakes, ponds, wide rivers and narrow rivers, and (3) translates the river objects into vector objects. In detail, the process can be broken down into the following steps. A. Water pixels are initially identified using on the extend range and slope values (if an optional DEM file is available). B. Erode to the distance that defines a large water body and then dilate back. The resulting mask can be used to identify large lake and embayment objects that are then removed from the image. Since this operation be time consuming it is only performed if a simple test (i.e. a large box can be found somewhere in the image that contains only water pixels) that indicates a large water body is present. C. All water pixels are ‘clumped’ (in Imagine terminology clumping is when pixels of a common classification that touch are connected) and clumps which do not contain pure water pixels (e.g. dark cloud shadows) are removed D. The resulting true water pixels are clumped and water objects which are too small (e.g. ponds) or isolated lakes (i.e. isolated objects with a small compactness ratio) are removed. Note that at this point lakes have been identified has a byproduct of the filtering process and can be output has vector layers if needed. E. At this point only river pixels

  8. Exploration Best Practices and the OpenEI Knowledge Exchange...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Best Practices and the OpenEI Knowledge Exchange Webinar Exploration Best Practices and the OpenEI Knowledge Exchange Webinar Exploration Best Practices and the OpenEI Knowledge ...

  9. Automated Knowledge Annotation for Dynamic Collaborative Environments

    SciTech Connect (OSTI)

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-05-19

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable automated knowledge annotation for modeling and simulation projects. This framework can be used to capture evidence (e.g., facts extracted from journal articles and government reports), discover new evidence (from similar peer-reviewed material as well as social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks.

  10. The Digital Road to Scientific Knowledge Diffusion; A Faster...

    Office of Scientific and Technical Information (OSTI)

    The Digital Road to Scientific Knowledge Diffusion; A Faster, Better Way to Scientific Progress? Citation Details In-Document Search Title: The Digital Road to Scientific Knowledge ...

  11. Knowledge Partnership for Measuring Air Pollution and Greenhouse...

    Open Energy Info (EERE)

    Knowledge Partnership for Measuring Air Pollution and Greenhouse Gas Emissions in Asia Jump to: navigation, search Name Knowledge Partnership for Measuring Air Pollution and...

  12. Template:Climate Knowledge Brokers Navigation | Open Energy Informatio...

    Open Energy Info (EERE)

    Climate Knowledge Brokers Navigation Jump to: navigation, search This is the Climate Knowledge Brokers Navigation template. It generates the navigation displayed at the top of all...

  13. New Jersey Institute of Technology Center for Building Knowledge...

    Open Energy Info (EERE)

    Institute of Technology Center for Building Knowledge Jump to: navigation, search Name: New Jersey Institute of Technology Center for Building Knowledge Place: University Heights...

  14. MHK Technologies/New Knowledge Wind and Wave Renewable Mobile...

    Open Energy Info (EERE)

    New Knowledge Wind and Wave Renewable Mobile Wind and Wave Power Plant Platform < MHK Technologies Jump to: navigation, search << Return to the MHK database homepage New Knowledge...

  15. Energy and Interior Departments Host Offshore Energy Knowledge...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and Interior Departments Host Offshore Energy Knowledge Exchange Workshop Energy and Interior Departments Host Offshore Energy Knowledge Exchange Workshop May 1, 2012 - 2:52pm ...

  16. Recovering START institutional knowledge (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Recovering START institutional knowledge Citation Details In-Document Search Title: Recovering START institutional knowledge You are accessing a document from the Department of ...

  17. Study Builds Knowledge of Nuclear Waste Glass, Provides Insight...

    Office of Environmental Management (EM)

    Study Builds Knowledge of Nuclear Waste Glass, Provides Insight to Facility Design Study Builds Knowledge of Nuclear Waste Glass, Provides Insight to Facility Design April 14, 2016 ...

  18. Capturing and Using Knowledge about the Use of Visualization Toolkits

    SciTech Connect (OSTI)

    Del Rio, Nicholas R.; Pinheiro da Silva, Paulo

    2012-11-02

    When constructing visualization pipelines using toolkits such as Visualization Toolkit (VTK) and Generic Mapping Tools (GMT), developers must understand (1) what toolkit operators will transform their data from its raw state to some required view state and (2) what viewers are available to present the generated view. Traditionally, developers learn about how to construct visualization pipelines by reading documentation and inspecting code examples, which can be costly in terms of the time and effort expended. Once an initial pipeline is constructed, developers may still have to undergo a trial and error process before a satisfactory visualization is generated. This paper presents the Visualization Knowledge Project (VisKo) that is built on a knowledge base of visualization toolkit operators and how they can be piped together to form visualization pipelines. Developers may now rely on VisKo to guide them when constructing visualization pipelines and in some cases, when VisKo has complete knowledge about some set of operators (i.e., sequencing and parameter settings), automatically generate a fully functional visualization pipeline.

  19. A knowledge continuity management program for the energy, infrastructure and knowledge systems center, Sandia National Laboratories.

    SciTech Connect (OSTI)

    Menicucci, David F.

    2006-07-01

    A growing recognition exists in companies worldwide that, when employees leave, they take with them valuable knowledge that is difficult and expensive to recreate. The concern is now particularly acute as the large ''baby boomer'' generation is reaching retirement age. A new field of science, Knowledge Continuity Management (KCM), is designed to capture and catalog the acquired knowledge and wisdom from experience of these employees before they leave. The KCM concept is in the final stages of being adopted by the Energy, Infrastructure, and Knowledge Systems Center and a program is being applied that should produce significant annual cost savings. This report discusses how the Center can use KCM to mitigate knowledge loss from employee departures, including a concise description of a proposed plan tailored to the Center's specific needs and resources.

  20. NUCLEAR INCIDENT CAPABILITIES, KNOWLEDGE & ENABLER LEVERAGING

    SciTech Connect (OSTI)

    Kinney, J.; Newman, J.; Goodwyn, A.; Dewes, J.

    2011-04-18

    action. Much work needs to be accomplished to enhance nuclear preparedness and to substantially bolster and clarify the capacity to deploy competent resources. Until detailed plans are scripted, and personnel and other resources are postured, and exercised, IND specific planning remains an urgent need requiring attention and action. Although strategic guidance, policies, concepts of operations, roles, responsibilities, and plans governing the response and consequence management for the IND scenario exist, an ongoing integration challenge prevails regarding how best to get capable and competent surge capacity personnel (disaster reservists) and other resources engaged and readied in an up-front manner with pre-scripted assignments to augment the magnitude of anticipated demands of expertise. With the above in mind, Savannah River National Laboratory (SRNL) puts science to work to create and deploy practical, high-value, cost-effective nuclear solutions. As the Department of Energy's (DOE) applied research and development laboratory, SRNL supports Savannah River Site (SRS) operations, DOE, national initiatives, and other federal agencies, across the country and around the world. SRNL's parent at SRS also employs more than 8,000 personnel. The team is a great asset that seeks to continue their service in the interest of national security and stands ready to accomplish new missions. Overall, an integral part of the vision for SRNL's National and Homeland Security Directorate is the establishment of a National Security Center at SRNL, and development of state of the science capabilities (technologies and trained technical personnel) for responding to emergency events on local, regional, or national scales. This entails leveraging and posturing the skills, knowledge and experience base of SRS personnel to deliver an integrated capability to support local, state, and federal authorities through the development of pre-scripted requests for assistance, agreements, and plans. It

  1. Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report

    SciTech Connect (OSTI)

    Patton, Robert M; Symons, Christopher T; Gorman, Bryan L; Treadwell, Jim N

    2012-04-01

    A final report on an ORNL task to establish a knowledge discovery and management tool to retrieve and recommend information from existing S&T documents for the Office of Naval Research Global.

  2. Bioenergy Knowledge Discovery Framework Recognized at National...

    Energy Savers [EERE]

    together the bioenergy community through Web-based tools, and was presented by Bioenergy ... stakeholders, but also for its technical capabilities as a Web-based architecture. ...

  3. Implementation Plan for the Office of Nuclear Energy Knowledge Management Program

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01

    The primary purpose of the Department of Energy (DOE), Office of Nuclear Energy (NE) Knowledge Management (KM) Program is to capture, share, disseminate, and ensure the ability to apply the knowledge created by the major nuclear energy Research and Development (R&D) programs. In support of the KM program, the Implementation Plan for the Office of NE KM Program outlines the knowledge management and distributed data environment that is required for its success. In addition to enumerating some strategic goals and objectives, this document characterizes the initial program and identifies computer-based areas of investment required for increased knowledge sharing and collaboration. It identifies and addresses investments already in existence and describes how these investments can be further enhanced and implemented to support a distributed KM program. The Idaho National Laboratory (INL) is leading the effort to identify and address these investments through the implementation of a distributed KM program that includes participants from ten of the major DOE national laboratories.

  4. Knowledge Management at the Fast Flux Test Facility

    SciTech Connect (OSTI)

    Wootan, David W.; Omberg, Ronald P.

    2013-06-01

    One of the goals of the Department of Energy’s Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. The FFTF knowledge management program includes a disciplined and orderly approach to respond to client’s requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated.

  5. Preserving physics knowledge at the fast flux test facility

    SciTech Connect (OSTI)

    Wootan, D.; Omberg, R.; Makenas, B. J.; Polzin, D. L.

    2012-07-01

    One of the goals of the Dept. of Energy's Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. A disciplined and orderly approach has been developed to respond to client's requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated. (authors)

  6. Exploration Best Practices and the OpenEI Knowledge Exchange...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exploration Best p Practices & The OpenEI Knowledge Exchange Knowledge Exchange G th l T h l i P W bi Geothermal Technologies Program Webinar Katherine R. Young Timothy Reber ...

  7. Abnormal event identification in nuclear power plants using a neural network and knowledge processing

    SciTech Connect (OSTI)

    Ohga, Yukiharu; Seki, Hiroshi (Hitachi, Ltd. Energy Research Lab., Ibarakiken (Japan))

    1993-02-01

    The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status when each event occurs. The event identification method is tested using test data based on simulated results of a transient analysis program for boiling water reactors. It is confirmed that a neural network can identify an event in which it has been trained even when the plant conditions, such as fuel burnup, differ from those used in the training and when the analog data contain white noise. The network does not mistakenly identify the nontrained event as a trained one. The method is feasible for event identification, and knowledge processing improves the reliability of the identification.

  8. New America Foundation: Eric Isaacs - Can our knowledge enterprise...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New America Foundation: Eric Isaacs - Can our knowledge enterprise seed the industries of tomorrow? Share Topic Operations Technology transfer...

  9. Surgeons' Knowledge and Practices Regarding the Role of Radiation Therapy in Breast Cancer Management

    SciTech Connect (OSTI)

    Zhou, Jessica; Griffith, Kent A.; Hawley, Sarah T.; Zikmund-Fisher, Brian J.; Janz, Nancy K.; Sabel, Michael S.; Katz, Steven J.; Jagsi, Reshma

    2013-12-01

    Purpose: Population-based studies suggest underuse of radiation therapy, especially after mastectomy. Because radiation oncology is a referral-based specialty, knowledge and attitudes of upstream providers, specifically surgeons, may influence patients' decisions regarding radiation, including whether it is even considered. Therefore, we sought to evaluate surgeons' knowledge of pertinent risk information, their patterns of referral, and the correlates of surgeon knowledge and referral in specific breast cancer scenarios. Methods and Materials: We surveyed a national sample of 750 surgeons, with a 67% response rate. We analyzed responses from those who had seen at least 1 breast cancer patient in the past year (n=403), using logistic regression models to identify correlates of knowledge and appropriate referral. Results: Overall, 87% of respondents were general surgeons, and 64% saw >10 breast cancer patients in the previous year. In a scenario involving a 45-year-old undergoing lumpectomy, only 45% correctly estimated the risk of locoregional recurrence without radiation therapy, but 97% would refer to radiation oncology. In a patient with 2 of 20 nodes involved after mastectomy, 30% would neither refer to radiation oncology nor provide accurate information to make radiation decisions. In a patient with 4 of 20 nodes involved after mastectomy, 9% would not refer to radiation oncology. Fewer than half knew that the Oxford meta-analysis revealed a survival benefit from radiation therapy after lumpectomy (45%) or mastectomy (32%). Only 16% passed a 7-item knowledge test; female and more-experienced surgeons were more likely to pass. Factors significantly associated with appropriate referral to radiation oncology included breast cancer volume, tumor board participation, and knowledge. Conclusions: Many surgeons have inadequate knowledge regarding the role of radiation in breast cancer management, especially after mastectomy. Targeted educational interventions may

  10. Preserving Physics Knowledge at the Fast Flux Test Facility

    SciTech Connect (OSTI)

    Wootan, David W.; Omberg, Ronald P.; Makenas, Bruce J.; Nielsen, Deborah L.; Nelson, Joseph V.; Polzin, David L.

    2011-11-01

    One of the goals of the Department of Energy’s Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. A disciplined and orderly approach has been developed to respond to client’s requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated.

  11. Report on a Zero-Knowledge Protocal Tabletop Exercise.

    SciTech Connect (OSTI)

    Marleau, Peter; Brubaker, Erik; Deland, Sharon M.; Hilton, Nathan R.; McDaniel, Michael; Schroeppel, Richard C.; Seager, Kevin D.; Stoddard, Mary Clare; MacArthur, Duncan

    2015-06-01

    This report summarizes the discussion and conclusions reached during a table top exercise held at Sandia National Laboratories, Albuquerque on September 3, 2014 regarding a recently described approach for nuclear warhead verification based on the cryptographic concept of a zero-knowledge protocol (ZKP) presented in a recent paper authored by Glaser, Barak, and Goldston. A panel of Sandia National Laboratories researchers, whose expertise includes radiation instrumentation design and development, cryptography, and arms control verification implementation, jointly reviewed the paper and identified specific challenges to implementing the approach as well as some opportunities. It was noted that ZKP as used in cryptography is a useful model for the arms control verification problem, but the direct analogy to arms control breaks down quickly. The ZKP methodology for warhead verification fits within the general class of template-based verification techniques, where a reference measurement is used to confirm that a given object is like another object that has already been accepted as a warhead by some other means. This can be a powerful verification approach, but requires independent means to trust the authenticity of the reference warhead - a standard that may be difficult to achieve, which the ZKP authors do not directly address. Despite some technical challenges, the concept of last-minute selection of the pre-loads and equipment could be a valuable component of a verification regime.

  12. Processes, data structures, and apparatuses for representing knowledge

    DOE Patents [OSTI]

    Hohimer, Ryan E.; Thomson, Judi R.; Harvey, William J.; Paulson, Patrick R.; Whiting, Mark A.; Tratz, Stephen C.; Chappell, Alan R.; Butner, R. Scott

    2011-09-20

    Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

  13. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    ScienceCinema (OSTI)

    Danuso, Francesco [University of Udine, Italy

    2010-01-08

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  14. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    SciTech Connect (OSTI)

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; Pounds, Joel G.; Blackburn, Michael R.; Rodland, Karin D.; McDermott, Jason E.

    2013-10-01

    Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective. To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods. The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results. The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions. Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.

  15. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    SciTech Connect (OSTI)

    Danuso, Francesco

    2008-06-18

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed. SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Joergensen, 1994) in which systems are modeled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  16. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    SciTech Connect (OSTI)

    Danuso, Francesco

    2008-06-18

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  17. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; et al

    2013-01-01

    Background . The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective . To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods . The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC).more » Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results . The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions . Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.« less

  18. Capturing Process Knowledge for Facility Deactivation and Decommissioning |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Capturing Process Knowledge for Facility Deactivation and Decommissioning Capturing Process Knowledge for Facility Deactivation and Decommissioning The Office of Environmental Management (EM) is responsible for the disposition of a vast number of facilities at numerous sites around the country which have been declared excess to current mission needs. Capturing Process Knowledge for Facility Deactivation and Decommissioning (252.61 KB) More Documents & Publications

  19. Essential Body of Knowledge (EBK) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Services » Training » Cybersecurity Training Warehouse » DOE Training & Education » Essential Body of Knowledge (EBK) Essential Body of Knowledge (EBK) Train12.jpg The OCIO has developed a DOE-specific Essential Body of Knowledge (EBK) using DOE cybersecurity policy, industry best practices and lessons learned, and comprehensive internal needs assessments to identify fundamental cybersecurity roles and associated responsibilities. Core competencies, as identified and documented in the

  20. Capturing Process Knowledge for Facility Deactivation and Decommission...

    Office of Environmental Management (EM)

    Tech Assistance Savannah River National Laboratory- Assess Adequacy of Process Knowledge ... Gaseous Diffusion Plant and phone discussions were held with personnel at several sites. ...

  1. Essential Body of Knowledge (EBK) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    More Documents & Publications Essential Body of Knowledge (EBK) DOE CYBER SECURITY EBK: CORE COMPETENCY TRAINING REQUIREMENTS: CA DOE CYBER SECURITY EBK: MINIMUM CORE COMPETENCY ...

  2. OSTIblog Articles in the scientific knowledge Topic | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    knowledge Topic The Benefits of Investments in Basic Research by Peter Lincoln 01 Nov, 2009 in Science Communications Long-term investments in basic research produce the major ...

  3. Knowledge Acquisition Ubiquitous Agent Infrastructure (KAUAI)

    Energy Science and Technology Software Center (OSTI)

    2009-09-15

    Mobile agents are autonomous software programs that can move from one host to another during the course of execution. The KAUAI computer code is a middleware that supports the rapid development and deployment of mobile agent based applications. It is built on the J2ME (CLDC) technology. KAUAI handles the instantiation, execution, transportation, and disposal of mobile agents. KAUAI masks the underlying hardware and communication details from application developers and provides flexible functionality for distributed computing.more » KAUAI supports software development in systems that involve a large number of heterogeneous computing platforms ranging from workstations to handheld devices.« less

  4. Knowledge Discovery and Data Mining (KDDM) survey report.

    SciTech Connect (OSTI)

    Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.; Elmore, Mark T.; Treadwell, Jim N.; Homan, Rossitza A.; Chapman, Leon Darrel; Spires, Shannon V.

    2005-02-01

    The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.

  5. Unconventional gas recovery: state of knowledge document

    SciTech Connect (OSTI)

    Geffen, C.A.

    1982-01-01

    This report is a synthesis of environmental data and information relevant to the four areas of unconventional gas recovery (UGR) resource recovery: methane from coal, tight western sands, Devonian shales and geopressurized aquifers. Where appropriate, it provides details of work reviewed; while in other cases, it refers the reader to relevant sources of information. This report consists of three main sections, 2, 3, and 4. Section 2 describes the energy resource base involved and characteristics of the technology and introduces the environmental concerns of implementing the technology. Section 3 reviews the concerns related to unconventional gas recovery systems which are of significance to the environment. The potential health and safety concerns of the recovery of natural gas from these resources are outlined in Section 4.

  6. Office of Nuclear Energy Knowledge Management Program Situational Analysis Report

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01

    Knowledge management (KM) has been a high priority for the Department of Energy (DOE) Office of Nuclear Energy (NE) for the past several years. NE Programs are moving toward well-established knowledge management practices and a formal knowledge management program has been established. Knowledge management is being practiced to some level within each of the NE programs. Although it continues to evolve as NE programs evolve, a formal strategic plan that guides the implementation of KM has been developed. Despite the acceptance of KM within DOE NE, more work is necessary before the NE KM program can be considered fully successful. Per Dr. David J. Skyrme[1], an organization typically moves through the following evolutionary phases: (1) Ad-hoc - KM is being practiced to some level in some parts of the organization; (2) Formal - KM is established as a formal project or program; (3) Expanding - the use of KM as a discipline grows in practice across different parts of the organization; (4) Cohesive - there is a degree of coordination of KM; (5) Integrated - there are formal standards and approaches that give every individual access to most organizational knowledge through common interfaces; and (6) Embedded - KM is part-and-parcel of everyday tasks; it blends seamlessly into the background. According to the evolutionary phases, the NE KM program is operating at the two lower levels, Ad-hoc and Formal. Although KM is being practiced to some level, it is not being practiced in a consistent manner across the NE programs. To be fully successful, more emphasis must be placed on establishing KM standards and processes for collecting, organizing, sharing and accessing NE knowledge. Existing knowledge needs to be prioritized and gathered on a routine basis, its existence formally recorded in a knowledge inventory. Governance to ensure the quality of the knowledge being used must also be considered. For easy retrieval, knowledge must be organized according to a taxonomy that

  7. Sustaining knowledge in the neutron generator community and benchmarking study.

    SciTech Connect (OSTI)

    Barrentine, Tameka C.; Kennedy, Bryan C.; Saba, Anthony W.; Turgeon, Jennifer L.; Schneider, Julia Teresa; Stubblefield, William Anthony; Baldonado, Esther

    2008-03-01

    In 2004, the Responsive Neutron Generator Product Deployment department embarked upon a partnership with the Systems Engineering and Analysis knowledge management (KM) team to develop knowledge management systems for the neutron generator (NG) community. This partnership continues today. The most recent challenge was to improve the current KM system (KMS) development approach by identifying a process that will allow staff members to capture knowledge as they learn it. This 'as-you-go' approach will lead to a sustainable KM process for the NG community. This paper presents a historical overview of NG KMSs, as well as research conducted to move toward sustainable KM.

  8. The Olympics of science knowledge at PPPL's NJ Regional Science...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Olympics of science knowledge at PPPL's NJ Regional Science Bowl By Jeanne Jackson DeVoe March 3, 2014 Tweet Widget Google Plus One Share on Facebook The J Droids, a science ...

  9. The Olympics of science knowledge at DOE's New Jersey Regional...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Olympics of science knowledge at DOE's New Jersey Regional Science Bowl at PPPL By Jeanne Jackson DeVoe March 3, 2014 Tweet Widget Google Plus One Share on Facebook The J ...

  10. Energy Efficiency Exchange 2015: Federal Training and Knowledge

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Efficiency Exchange 2015: Federal Training and Knowledge Overview Webinars: March 25 & April 8, 2015 Timothy D. Unruh PhD, PE, CEM Program Director DOE FEMP 2 Energy...

  11. The Importance of Traditional Ecological Knowledge in Adaptation Planning

    Broader source: Energy.gov [DOE]

    The National Adaptation Forum is hosting a webinar to focus on the importance and role of traditional ecological knowledge in adaptation planning at the local, regional, and national level.

  12. Synchronized Biological Knowledge and Data Management: A Hybrid Approach

    SciTech Connect (OSTI)

    Stephan, Eric G.; Chin, George; Corrigan, Abbie L.; Klicker, Kyle R.; Sofia, Heidi J.

    2004-06-23

    The new systems approach to biology has created a great need for innovative database technologies. Biologists need new ways to integrate large scale data and concepts they form about the data during experimental and computational research. The Heuristic Entity Relationship Building Environment (HERBE) is a new prototypical architecture fusing data management technologies with knowledge management components. This hybrid approach enables the scientist to manage both their concepts and related data in a synchronized fashion. HERBE is currently being used for microbial research and in this paper we will describe how HERBE is used to capture microbial protein concepts grouped by organism, how the microbial proteins are reengineered into a combined knowledge on multiple microbial organisms, and how the data associated with the organisms can be mined. This paper also describes how the scientist’s evolving knowledge can be annotated by connecting the biologist’s knowledge to community resources such as the Gene Ontology.

  13. The Path to Transforming Knowledge into Energy Projects: DOE Tribal

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Renewable Energy Webinar Series 2015 | Department of Energy The Path to Transforming Knowledge into Energy Projects: DOE Tribal Renewable Energy Webinar Series 2015 The Path to Transforming Knowledge into Energy Projects: DOE Tribal Renewable Energy Webinar Series 2015 Learn more about the 2015 Tribal Renewable Energy Webinar Series and read detailed descriptions about each of the monthly webinars in the flier below. DOE Tribal Renewable Energy Webinar Series 2015 Flier (613.37 KB) More

  14. Bioenergy Knowledge Discovery Framework Recognized at National Conference |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Knowledge Discovery Framework Recognized at National Conference Bioenergy Knowledge Discovery Framework Recognized at National Conference December 17, 2014 - 4:14pm Addthis The paper and poster presentation "Bioenergy KDF: Enabling Spatiotemporal Data Synthesis and Research Collaboration" was awarded second place for best paper at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, held November 4-7 in Dallas, Texas. It

  15. Method and system for knowledge discovery using non-linear statistical analysis and a 1st and 2nd tier computer program

    DOE Patents [OSTI]

    Hively, Lee M.

    2011-07-12

    The invention relates to a method and apparatus for simultaneously processing different sources of test data into informational data and then processing different categories of informational data into knowledge-based data. The knowledge-based data can then be communicated between nodes in a system of multiple computers according to rules for a type of complex, hierarchical computer system modeled on a human brain.

  16. Uncertainty Quantification of Hypothesis Testing for the Integrated Knowledge Engine

    SciTech Connect (OSTI)

    Cuellar, Leticia

    2012-05-31

    The Integrated Knowledge Engine (IKE) is a tool of Bayesian analysis, based on Bayesian Belief Networks or Bayesian networks for short. A Bayesian network is a graphical model (directed acyclic graph) that allows representing the probabilistic structure of many variables assuming a localized type of dependency called the Markov property. The Markov property in this instance makes any node or random variable to be independent of any non-descendant node given information about its parent. A direct consequence of this property is that it is relatively easy to incorporate new evidence and derive the appropriate consequences, which in general is not an easy or feasible task. Typically we use Bayesian networks as predictive models for a small subset of the variables, either the leave nodes or the root nodes. In IKE, since most applications deal with diagnostics, we are interested in predicting the likelihood of the root nodes given new observations on any of the children nodes. The root nodes represent the various possible outcomes of the analysis, and an important problem is to determine when we have gathered enough evidence to lean toward one of these particular outcomes. This document presents criteria to decide when the evidence gathered is sufficient to draw a particular conclusion or decide in favor of a particular outcome by quantifying the uncertainty in the conclusions that are drawn from the data. The material in this document is organized as follows: Section 2 presents briefly a forensics Bayesian network, and we explore evaluating the information provided by new evidence by looking first at the posterior distribution of the nodes of interest, and then at the corresponding posterior odds ratios. Section 3 presents a third alternative: Bayes Factors. In section 4 we finalize by showing the relation between the posterior odds ratios and Bayes factors and showing examples these cases, and in section 5 we conclude by providing clear guidelines of how to use these

  17. Knowledge system and method for simulating chemical controlled release device performance

    DOE Patents [OSTI]

    Cowan, Christina E.; Van Voris, Peter; Streile, Gary P.; Cataldo, Dominic A.; Burton, Frederick G.

    1991-01-01

    A knowledge system for simulating the performance of a controlled release device is provided. The system includes an input device through which the user selectively inputs one or more data parameters. The data parameters comprise first parameters including device parameters, media parameters, active chemical parameters and device release rate; and second parameters including the minimum effective inhibition zone of the device and the effective lifetime of the device. The system also includes a judgemental knowledge base which includes logic for 1) determining at least one of the second parameters from the release rate and the first parameters and 2) determining at least one of the first parameters from the other of the first parameters and the second parameters. The system further includes a device for displaying the results of the determinations to the user.

  18. Energy and Interior Departments Host Offshore Energy Knowledge Exchange

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Workshop | Department of Energy and Interior Departments Host Offshore Energy Knowledge Exchange Workshop Energy and Interior Departments Host Offshore Energy Knowledge Exchange Workshop May 1, 2012 - 2:52pm Addthis This is an excerpt from the Second Quarter 2012 edition of the Wind Program R&D Newsletter. More than 150 experts on U.S. and European offshore renewable energy and the oil and gas industry met in Washington, D.C., on April 11 and 12 to exchange information and build

  19. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  20. Search Method for Real-time Knowledge Discovery Modeled on the...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Search Method for Real-time Knowledge Discovery Modeled on the Human Brain Oak Ridge ... information processing properties of the human brain to computational knowledge discovery. ...

  1. Role of basic ecological knowledge in environmental assessment

    SciTech Connect (OSTI)

    Hildebrand, S.G.; Barnthouse, L.W.; Suter, G.W.

    1984-01-01

    The role of basic ecological knowledge in environmental impact assessment was examined. The focus was primarily on the NEPA process. Experience in population biology and ecosystem studies is discussed, the successes and limits of applicability are highlighted, and implications for long-term research needs are identified. Current attempts to develop a national assessment of acid deposition impacts are reviewed. 48 refs. (ACR)

  2. Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications

    SciTech Connect (OSTI)

    Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.

    2010-05-24

    This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.

  3. Knowledge and abilities catalog for nuclear power plant operators: boiling water reactors

    SciTech Connect (OSTI)

    Not Available

    1986-09-01

    The Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Boiling-Water Reactors (BWR) (NUREG-1123) provides the basis for the development of content-valid licensing examinations for reactor operators (ROs) and senior reactor operators (SROs). The examinations developed using the BWR Catalog and Examiners' Handbook for Developing Operator Licensing Examinations (NUREG-1121) will cover those topics listed under Title 10, Code of Federal Regulations, Part 55. The BWR Catalog contains approximately 7000 knowledge and ability (K/A) statements for ROs and SROs at boiling water reactors. Each K/A statement has been rated for its importance to the safe operation of the plant in a manner ensuring personnel and public health and safety. The BWR K/A Catalog is organized into five major sections: Plant-wide Generic Knowledge and Ability Statements, Plant Systems grouped by Safety Function, Emergency and Abnormal Plant Evolutions, Components, and Theory. The BWR Catalog represents a modification of the form and content of the K/A Catalog for Nuclear Power Plant Operators: Pressurized Water Reactors (NUREG-1122). First, categories of knowledge and ability statements have been redefined. Second, the scope of the definition of emergency and abnormal plant evolutions has been revised in line with a symptom-based approach. Third, K/As related to the operational applications of theory have been incorporated into the delineations for both plant systems and emergency and abnormal plant evolutions, while K/As pertaining to theory fundamental to plant operation have been delineated in a separate theory section. Finally, the components section has been revised.

  4. Prior knowledge driven Granger causality analysis on gene regulatory network discovery

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

    Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets. The widely applied pairwise GC model (PGC) and other regularization strategies can lead to a significant number of false identifications when n>>T. In this study, we proposed a new method, viz., CGC-2SPR (CGC using two-step prior Ridge regularization) to resolve the problem by incorporating prior biological knowledge about a target gene data set. In our simulation experiments, themore » propose new methodology CGC-2SPR showed significant performance improvement in terms of accuracy over other widely used GC modeling (PGC, Ridge and Lasso) and MI-based (MRNET and ARACNE) methods. In addition, we applied CGC-2SPR to a real biological dataset, i.e., the yeast metabolic cycle, and discovered more true positive edges with CGC-2SPR than with the other existing methods. In our research, we noticed a “ 1+1>2” effect when we combined prior knowledge and gene expression data to discover regulatory networks. Based on causality networks, we made a functional prediction that the Abm1 gene (its functions previously were unknown) might be related to the yeast’s responses to different levels of glucose. In conclusion, our research improves causality modeling by combining heterogeneous knowledge, which is well aligned with the future direction in system biology. Furthermore, we proposed a method of Monte Carlo significance estimation (MCSE) to calculate the edge significances which provide statistical meanings to the discovered causality networks. All of our data and source codes will be available under the link https://bitbucket.org/dtyu/granger-causality/wiki/Home.« less

  5. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  6. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  7. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  8. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  9. Raptor: An Enterprise Knowledge Discovery Engine - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Energy Analysis Early Stage R&D Early Stage R&D Find More Like This Return to Search Raptor: An Enterprise Knowledge Discovery Engine Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary Enterprises generate large quantities of information contained in documents, presentations, spreadsheets, and databases. This information is stored across file shares, intranet portals, user desktops, and other business unit applications. Combined

  10. Pesticide use knowledge and practices: A gender differences in Nepal

    SciTech Connect (OSTI)

    Atreya, Kishor . E-mail: k.atreya@gmail.com

    2007-06-15

    It is important to understand gender difference on pesticide use knowledge, attitude and practices for identifying pesticide risks by gender and to recommend more gender-sensitive programs. However, very few studies have been conducted so far in Nepal. This study, thus, interviewed a total of 325 males and 109 females during 2005 to assess gender differences on pesticide use knowledge, attitude and practices. More than 50% females had never been to school and only <8% individuals were found trained in Integrated Pest Management (IPM). Almost all males and females did not smoke, drink and eat during pesticides application and also believed that pesticides are harmful to human health, livestock, plant diversity and their environment. However, there were gender differences on household decision on pesticides to be used (p<0.001), care of wind direction during spraying (p=0.032), prior knowledge on safety measures (p=0.016), reading and understanding of pesticides labels (p<0.001), awareness of the labels (p<0.001) and protective covers. Almost all respondents were aware of negative impacts of pesticide use on human health and environment irrespective of gender; however, females were at higher risk due to lower level of pesticide use safety and awareness. It is strongly recommended to initiate gender-sensitive educational and awareness activities, especially on pesticide use practices and safety precautions.

  11. Listeriosis Prevention Knowledge Among Pregnant Women in the USA

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ogunmodede, Folashade; Jones, Jeffery L.; Scheftel, Joni; Kirkland, Elizabeth; Schulkin, Jay; Lynfield, Ruth

    2005-01-01

    Background: Listeriosis is a food-borne disease often associated with ready-to-eat foods. It usually causes mild febrile gastrointestinal illness in immunocompetent persons. In pregnant women, it may cause more severe infection and often crosses the placenta to infect the fetus, resulting in miscarriage, fetal death or neonatal morbidity. Simple precautions during pregnancy can prevent listeriosis. However, many women are unaware of these precautions and listeriosis education is often omitted from prenatal care. Methods: Volunteer pregnant women were recruited to complete a questionnaire to assess their knowledge of listeriosis and its prevention, in two separate studies. One study was a nationalmore » survey of 403 women from throughout the USA, and the other survey was limited to 286 Minnesota residents. Results: In the multi-state survey, 74 of 403 respondents (18%) had some knowledge of listeriosis, compared with 43 of 286 (15%) respondents to the Minnesota survey. The majority of respondents reported hearing about listeriosis from a medical professional. In the multi-state survey, 33% of respondents knew listeriosis could be prevented by not eating delicatessen meats, compared with 17% in the Minnesota survey ( p = 0.01). Similarly, 31% of respondents to the multi-state survey compared with 19% of Minnesota survey respondents knew listeriosis could be prevented by avoiding unpasteurized dairy products (p = 0.05). As for preventive behaviors, 18% of US and 23% of Minnesota respondents reported avoiding delicatessen meats and ready-to-eat foods during pregnancy, whereas 86% and 88%, respectively, avoided unpasteurized dairy products. Conclusions: Most pregnant women have limited knowledge of listeriosis prevention. Even though most respondents avoided eating unpasteurized dairy products, they were unaware of the risk associated with ready-to-eat foods. Improved education of pregnant women regarding the risk and sources of listeriosis in pregnancy is needed.« less

  12. The Oil and Natural Gas Knowledge Management Database from NETL

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Knowledge Management Database (KMD) Portal provides four options for searching the documents and data that NETL-managed oil and gas research has produced over the years for DOE’s Office of Fossil Energy. Information includes R&D carried out under both historical and ongoing DOE oil and gas research and development (R&D). The Document Repository, the CD/DVD Library, the Project Summaries from 1990 to the present, and the Oil and Natural Gas Program Reference Shelf provide a wide range of flexibility and coverage.

  13. The Oil and Natural Gas Knowledge Management Database from NETL

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Knowledge Management Database (KMD) Portal provides four options for searching the documents and data that NETL-managed oil and gas research has produced over the years for DOEs Office of Fossil Energy. Information includes R&D carried out under both historical and ongoing DOE oil and gas research and development (R&D). The Document Repository, the CD/DVD Library, the Project Summaries from 1990 to the present, and the Oil and Natural Gas Program Reference Shelf provide a wide range of flexibility and coverage.

  14. Knowledge Preservation at the Fast Flux Test Facility

    SciTech Connect (OSTI)

    Wootan, David W.; Omberg, Ronald P.

    2011-12-30

    One of the goals of the Department of Energy's Office of Nuclear Energy Fuel Cycle Research and Development Program (FCRD) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. A disciplined and orderly approach has been developed to respond to client's requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated.

  15. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  16. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsÆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  17. Improving Cyber-Security of Smart Grid Systems via Anomaly Detection and Linguistic Domain Knowledge

    SciTech Connect (OSTI)

    Ondrej Linda; Todd Vollmer; Milos Manic

    2012-08-01

    The planned large scale deployment of smart grid network devices will generate a large amount of information exchanged over various types of communication networks. The implementation of these critical systems will require appropriate cyber-security measures. A network anomaly detection solution is considered in this work. In common network architectures multiple communications streams are simultaneously present, making it difficult to build an anomaly detection solution for the entire system. In addition, common anomaly detection algorithms require specification of a sensitivity threshold, which inevitably leads to a tradeoff between false positives and false negatives rates. In order to alleviate these issues, this paper proposes a novel anomaly detection architecture. The designed system applies the previously developed network security cyber-sensor method to individual selected communication streams allowing for learning accurate normal network behavior models. Furthermore, the developed system dynamically adjusts the sensitivity threshold of each anomaly detection algorithm based on domain knowledge about the specific network system. It is proposed to model this domain knowledge using Interval Type-2 Fuzzy Logic rules, which linguistically describe the relationship between various features of the network communication and the possibility of a cyber attack. The proposed method was tested on experimental smart grid system demonstrating enhanced cyber-security.

  18. Low Emission Development Strategies: The Role of Networks and Knowledge Platforms

    SciTech Connect (OSTI)

    Benioff, Ron; Bazilian, Morgan; Cox, Sadie; Uriarte, Caroline; Kecman, Ana; De Simone, Giuseppe; Kitaoka, Kazuki; Ploutakhina, Marina; Radka, M.

    2013-09-01

    Considerable effort has been made to address the transition to low-carbon economy. A key focus of these efforts has been on the development of national low-emissions developments strategies (LEDS). One enabler of these plans is the existence of well-functioning national, regional and international low-emission development networks and knowledge platforms. To better understand the role of LEDS, weexamine this area in relation to network theory. We present a review of strengths and weaknesses of existing LEDS networks that builds on the findings of a study conducted by the Coordinated Low Emission Assistance Network (CLEAN). Based on the insights from theory and a mapping of the climate-related network space, we identify opportunities for further refinement of LEDS networks.

  19. A Zero Knowledge Protocol For Nuclear Warhead Verification

    SciTech Connect (OSTI)

    Glaser, Alexander; Goldston, Robert J.

    2014-03-14

    The verification of nuclear warheads for arms control faces a paradox: International inspectors must gain high confidence in the authenticity of submitted items while learning nothing about them. Conventional inspection systems featuring ''information barriers'', designed to hide measurments stored in electronic systems, are at risk of tampering and snooping. Here we show the viability of fundamentally new approach to nuclear warhead verification that incorporates a zero-knowledge protocol, designed such that sensitive information is never measured so does not need to be hidden. We interrogate submitted items with energetic neutrons, making in effect, differential measurements of neutron transmission and emission. Calculations of diversion scenarios show that a high degree of discrimination can be achieved while revealing zero information. Timely demonstration of the viability of such an approach could be critical for the nexxt round of arms-control negotiations, which will likely require verification of individual warheads, rather than whole delivery systems.

  20. Design Principles for Effective Knowledge Discovery from Big Data

    SciTech Connect (OSTI)

    Begoli, Edmon; Horey, James L

    2012-01-01

    Big data phenomenon refers to the practice of collection and processing of very large data sets and associated systems and algorithms used to analyze these massive datasets. Architectures for big data usually range across multiple machines and clusters, and they commonly consist of multiple special purpose sub-systems. Coupled with the knowledge discovery process, big data movement offers many unique opportunities for organizations to benefit (with respect to new insights, business optimizations, etc.). However, due to the difficulty of analyzing such large datasets, big data presents unique systems engineering and architectural challenges. In this paper, we present three sys- tem design principles that can inform organizations on effective analytic and data collection processes, system organization, and data dissemination practices. The principles presented derive from our own research and development experiences with big data problems from various federal agencies, and we illustrate each principle with our own experiences and recommendations.

  1. EM-21 Retrieval Knowledge Center: Waste Retrieval Challenges

    SciTech Connect (OSTI)

    Fellinger, Andrew P.; Rinker, Michael W.; Berglin, Eric J.; Minichan, Richard L.; Poirier, Micheal R.; Gauglitz, Phillip A.; Martin, Bruce A.; Hatchell, Brian K.; Saldivar, Eloy; Mullen, O Dennis; Chapman, Noel F.; Wells, Beric E.; Gibbons, Peter W.

    2009-04-10

    EM-21 is the Waste Processing Division of the Office of Engineering and Technology, within the U.S. Department of Energys (DOE) Office of Environmental Management (EM). In August of 2008, EM-21 began an initiative to develop a Retrieval Knowledge Center (RKC) to provide the DOE, high level waste retrieval operators, and technology developers with centralized and focused location to share knowledge and expertise that will be used to address retrieval challenges across the DOE complex. The RKC is also designed to facilitate information sharing across the DOE Waste Site Complex through workshops, and a searchable database of waste retrieval technology information. The database may be used to research effective technology approaches for specific retrieval tasks and to take advantage of the lessons learned from previous operations. It is also expected to be effective for remaining current with state-of-the-art of retrieval technologies and ongoing development within the DOE Complex. To encourage collaboration of DOE sites with waste retrieval issues, the RKC team is co-led by the Savannah River National Laboratory (SRNL) and the Pacific Northwest National Laboratory (PNNL). Two RKC workshops were held in the Fall of 2008. The purpose of these workshops was to define top level waste retrieval functional areas, exchange lessons learned, and develop a path forward to support a strategic business plan focused on technology needs for retrieval. The primary participants involved in these workshops included retrieval personnel and laboratory staff that are associated with Hanford and Savannah River Sites since the majority of remaining DOE waste tanks are located at these sites. This report summarizes and documents the results of the initial RKC workshops. Technology challenges identified from these workshops and presented here are expected to be a key component to defining future RKC-directed tasks designed to facilitate tank waste retrieval solutions.

  2. Bridging the PSI Knowledge Gap: A Multi-Scale Approach

    SciTech Connect (OSTI)

    Wirth, Brian D

    2015-01-08

    Plasma-surface interactions (PSI) pose an immense scientific hurdle in magnetic confinement fusion and our present understanding of PSI in confinement environments is highly inadequate; indeed, a recent Fusion Energy Sciences Advisory Committee report found that 4 out of the 5 top five fusion knowledge gaps were related to PSI. The time is appropriate to develop a concentrated and synergistic science effort that would expand, exploit and integrate the wealth of laboratory ion-beam and plasma research, as well as exciting new computational tools, towards the goal of bridging the PSI knowledge gap. This effort would broadly advance plasma and material sciences, while providing critical knowledge towards progress in fusion PSI. This project involves the development of a Science Center focused on a new approach to PSI science; an approach that both exploits access to state-of-the-art PSI experiments and modeling, as well as confinement devices. The organizing principle is to develop synergistic experimental and modeling tools that treat the truly coupled multi-scale aspect of the PSI issues in confinement devices. This is motivated by the simple observation that while typical lab experiments and models allow independent manipulation of controlling variables, the confinement PSI environment is essentially self-determined with few outside controls. This means that processes that may be treated independently in laboratory experiments, because they involve vastly different physical and time scales, will now affect one another in the confinement environment. Also, lab experiments cannot simultaneously match all exposure conditions found in confinement devices typically forcing a linear extrapolation of lab results. At the same time programmatic limitations prevent confinement experiments alone from answering many key PSI questions. The resolution to this problem is to usefully exploit access to PSI science in lab devices, while retooling our thinking from a linear and de

  3. Knowledge Representation Issues in Semantic Graphs for Relationship Detection

    SciTech Connect (OSTI)

    Barthelemy, M; Chow, E; Eliassi-Rad, T

    2005-02-02

    An important task for Homeland Security is the prediction of threat vulnerabilities, such as through the detection of relationships between seemingly disjoint entities. A structure used for this task is a ''semantic graph'', also known as a ''relational data graph'' or an ''attributed relational graph''. These graphs encode relationships as typed links between a pair of typed nodes. Indeed, semantic graphs are very similar to semantic networks used in AI. The node and link types are related through an ontology graph (also known as a schema). Furthermore, each node has a set of attributes associated with it (e.g., ''age'' may be an attribute of a node of type ''person''). Unfortunately, the selection of types and attributes for both nodes and links depends on human expertise and is somewhat subjective and even arbitrary. This subjectiveness introduces biases into any algorithm that operates on semantic graphs. Here, we raise some knowledge representation issues for semantic graphs and provide some possible solutions using recently developed ideas in the field of complex networks. In particular, we use the concept of transitivity to evaluate the relevance of individual links in the semantic graph for detecting relationships. We also propose new statistical measures for semantic graphs and illustrate these semantic measures on graphs constructed from movies and terrorism data.

  4. Systems and methods for knowledge discovery in spatial data

    DOE Patents [OSTI]

    Obradovic, Zoran; Fiez, Timothy E.; Vucetic, Slobodan; Lazarevic, Aleksandar; Pokrajac, Dragoljub; Hoskinson, Reed L.

    2005-03-08

    Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.

  5. Sustaining knowledge in the neutron generator community and benchmarking study. Phase II.

    SciTech Connect (OSTI)

    Huff, Tameka B.; Stubblefield, William Anthony; Cole, Benjamin Holland, II; Baldonado, Esther

    2010-08-01

    This report documents the second phase of work under the Sustainable Knowledge Management (SKM) project for the Neutron Generator organization at Sandia National Laboratories. Previous work under this project is documented in SAND2008-1777, Sustaining Knowledge in the Neutron Generator Community and Benchmarking Study. Knowledge management (KM) systems are necessary to preserve critical knowledge within organizations. A successful KM program should focus on people and the process for sharing, capturing, and applying knowledge. The Neutron Generator organization is developing KM systems to ensure knowledge is not lost. A benchmarking study involving site visits to outside industry plus additional resource research was conducted during this phase of the SKM project. The findings presented in this report are recommendations for making an SKM program successful. The recommendations are activities that promote sharing, capturing, and applying knowledge. The benchmarking effort, including the site visits to Toyota and Halliburton, provided valuable information on how the SEA KM team could incorporate a KM solution for not just the neutron generators (NG) community but the entire laboratory. The laboratory needs a KM program that allows members of the workforce to access, share, analyze, manage, and apply knowledge. KM activities, such as communities of practice (COP) and sharing best practices, provide a solution towards creating an enabling environment for KM. As more and more people leave organizations through retirement and job transfer, the need to preserve knowledge is essential. Creating an environment for the effective use of knowledge is vital to achieving the laboratory's mission.

  6. Supercomputing Model Provides Insights from Higher Wind and Solar

    Energy Savers [EERE]

    About Us » Jobs & Internships » Summer Programs Summer Programs Minority Educational Institution Summer Partnership Program The DOE Minority Educational Institutions Student Partnership Program provides talented college students attending minority institutions who are pursuing academic degrees in the areas of science and technology opportunities to further develop skills and expand their knowledge base through work experiences relative to their academic studies. For more information on how

  7. DATA COLLECTION, QUALITY ASSURANCE, AND ANALYSIS PLAN FOR THE 2008/2009 HYDROGEN AND FUEL CELLS KNOWLEDGE AND OPINIONS SURVEYS

    SciTech Connect (OSTI)

    Schmoyer, Richard L; Truett, Lorena Faith; Diegel, Susan W

    2008-09-01

    The 2008/2009 Knowledge and Opinions Survey, conducted for the Department of Energy's Hydrogen Program will measure the levels of awareness and understanding of hydrogen and fuel cell technologies within five target populations: (1) the general public, (2) students, (3) personnel in state and local governments, (4) potential end users of hydrogen fuel and fuel cell technologies in business and industry, and (5) safety and code officials. The ultimate goal of the surveys is a statistically valid, nationally based assessment. Distinct information collections are required for each of the target populations. Each instrument for assessing baseline knowledge is targeted to the corresponding population group. While many questions are identical across all populations, some questions are unique to each respondent group. The biggest data quality limitation of the hydrogen survey data (at least of the general public and student components) will be nonresponse bias. To ensure as high a response rate as possible, various measures will be taken to minimize nonresponse, including automated callbacks, cycling callbacks throughout the weekdays, and availability of Spanish speaking interviewers. Statistical adjustments (i.e., sampling weights) will also be used to account for nonresponse and noncoverage. The primary objective of the data analysis is to estimate the proportions of target population individuals who would respond to the questions in the various possible ways. Data analysis will incorporate necessary adjustments for the sampling design and sampling weights (i.e., probability sampling). Otherwise, however, the analysis will involve standard estimates of proportions of the interviewees responding in various ways to the questions. Sample-weight-adjusted contingency table chi-square tests will also be computed to identify differences between demographic groups The first round of Knowledge and Opinions Surveys was conducted in 2004. Analysis of these surveys produced a

  8. New America Foundation: Eric Isaacs - Can our knowledge enterprise seed the

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    industries of tomorrow? | Argonne National Laboratory New America Foundation: Eric Isaacs - Can our knowledge enterprise seed the industries of tomorrow? Share Topic Operations Technology transfer

  9. Results of the 2008/2009 Knowledge and Opinions Surveys conducted...

    Energy Savers [EERE]

    This report presents results of a 20082009 survey of hydrogen and fuel cell awareness ... Hydrogen Knowledge and Opinions Assessment Vehicle Technologies Office: 2008-2009 Fuels ...

  10. Use of acceptable knowledge to demonstrate TRAMPAC compliance

    SciTech Connect (OSTI)

    Whitworth, J. (Julia); Becker, B. (Blair); Guerin, D. (David); Shokes, T. (Tamara)

    2004-01-01

    Recently, Los Alamos National Laboratory-Carlsbad Operations (LANL-CO) has supported the Central Characterization Project (CCP) managed by the U.S. Department of Energy (DOE) in the shipment of transuranic (TRU) waste from various small-quantity TRU waste generators to hub sites or other DOE sites in TRUPACT-II shipping containers. This support has involved using acceptable knowledge (AK) to demonstrate compliance with various requirements of Revision 19 of the TRUPACT-II Authorized Methods of Payload Compliance (TRAMPAC). LANL-CO has worked to facilitate TRUPACT-II shipments from the University of Missouri Research Reactor (MURR) and Lovelace Respiratory Research Institute (LRRI) to Argonne National Laboratory-East (ANL-E) and Los Alamos National Laboratory (LANL), respectively. The latter two sites have TRU waste certification programs approved to ship waste to the Waste Isolation Pilot Plant (WIPP) for disposal. In each case, AK was used to satisfy the necessary information to ship the waste to other DOE facilities. For the purposes of intersite shipment, AK provided data to WIPP Waste Information System (WWIS) transportation modules to ensure that required information was obtained prior to TRUPACT-II shipments. The WWIS modules were used for the intersite shipments, not to enter certification data into WWIS, but rather to take advantage of a validated system to ensure that the containers to be shipped were compliant with TRAMPAC requirements, particularly in the evaluation of quantitative criteria. LANL-CO also assisted with a TRAMPAC compliance demonstration for homogeneous waste containers shipped in TRUPACT-II containers from ANL-E to Idaho National Engineering and Environmental Laboratory (INEEL) for the purpose of core sampling. The basis for the TRAMPAC compliance determinations was AK regarding radiological composition, chemical composition, TRU waste container packaging, and absence of prohibited items. Also, even in the case where AK is not used to

  11. Filling Knowledge Gaps with Five Fuel Cycle Studies

    SciTech Connect (OSTI)

    Steven J. Piet; Jess Gehin; William Halsey; Temitope Taiwo

    2010-11-01

    During FY 2010, five studies were conducted of technology families’ applicability to various fuel cycle strategies to fill in knowledge gaps in option space and to better understand trends and patterns. Here, a “technology family” is considered to be defined by a type of reactor and by selection of which actinides provide fuel. This report summarizes the higher-level findings; the detailed analyses and results are documented in five individual reports, as follows: • Advanced once through with uranium fuel in fast reactors (SFR), • Advanced once through (uranium fuel) or single recycle (TRU fuel) in high temperature gas cooled reactors (HTGR), • Sustained recycle with Th/U-233 in light water reactors (LWRs), • Sustained recycle with Th/U-233 in molten salt reactors (MSR), and • Several fuel cycle missions with Fusion-Fission Hybrid (FFH). Each study examined how the designated technology family could serve one or more designated fuel cycle missions, filling in gaps in overall option space. Each study contains one or more illustrative cases that show how the technology family could be used to meet a fuel cycle mission, as well as broader information on the technology family such as other potential fuel cycle missions for which insufficient information was available to include with an illustrative case. None of the illustrative cases can be considered as a reference, baseline, or nominal set of parameters for judging performance; the assessments were designed to assess areas of option space and were not meant to be optimized. There is no implication that any of the cases or technology families are necessarily the best way to meet a given fuel cycle mission. The studies provide five examples of 1-year fuel cycle assessments of technology families. There is reasonable coverage in the five studies of the performance areas of waste management and uranium utilization. The coverage of economics, safety, and proliferation resistance and physical protection in

  12. OSTIblog Articles in the diffusion of knowledge Topic | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information of knowledge Topic Science Depends on the Diffusion of Knowledge by Dr. Walt Warnick 05 Mar, 2009 in Personal Perspectives As Isaac Newton said, "If I have seen further than others, it is by standing on the shoulders of giants." Newton was not alone on those shoulders. Everyone in science, from his day to ours, draws on the work of others. Science is all about the flow of knowledge: New methods, instruments, techniques,

  13. Exploration Best Practices and the OpenEI Knowledge Exchange Webinar |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Exploration Best Practices and the OpenEI Knowledge Exchange Webinar Exploration Best Practices and the OpenEI Knowledge Exchange Webinar Exploration Best Practices and the OpenEI Knowledge Exchange Webinar slide presentation by Katherine Young, Timothy Reber and Kermit Witherbee on April 11, 2012. gtp_exploration_openei_webinar_4-11-12.pdf (3.41 MB) More Documents & Publications OpenEI and Linked Open Data Fueling Innovation and Adoption by Sharing Data on the DOE

  14. OTT's Clean Energy Investment Center Holds its Inaugural Laboratory-Investor Knowledge Seminar in Silicon Valley

    Broader source: Energy.gov [DOE]

    The Clean Energy Investment Center (CEIC) held its inaugural Laboratory-Investor Knowledge Seminar (LINKS) on Thursday, April 28, co-hosted with Lawrence Livermore National Laboratory at Innovate Pleasanton in Pleasanton, CA.

  15. Processing large sensor data sets for safeguards : the knowledge generation system.

    SciTech Connect (OSTI)

    Thomas, Maikel A.; Smartt, Heidi Anne; Matthews, Robert F.

    2012-04-01

    Modern nuclear facilities, such as reprocessing plants, present inspectors with significant challenges due in part to the sheer amount of equipment that must be safeguarded. The Sandia-developed and patented Knowledge Generation system was designed to automatically analyze large amounts of safeguards data to identify anomalous events of interest by comparing sensor readings with those expected from a process of interest and operator declarations. This paper describes a demonstration of the Knowledge Generation system using simulated accountability tank sensor data to represent part of a reprocessing plant. The demonstration indicated that Knowledge Generation has the potential to address several problems critical to the future of safeguards. It could be extended to facilitate remote inspections and trigger random inspections. Knowledge Generation could analyze data to establish trust hierarchies, to facilitate safeguards use of operator-owned sensors.

  16. Deactivation & Decommissioning Knowledge Management Information Tool (D&D KM-IT)

    Broader source: Energy.gov [DOE]

    The Deactivation and Decommissioning Knowledge Management Information Tool (D&D KM-IT) serves as a centralized repository providing a common interface for all D&D related activities.

  17. The Digital Road to Scientific Knowledge Diffusion; A Faster, Better Way to

    Office of Scientific and Technical Information (OSTI)

    Scientific Progress? (Journal Article) | SciTech Connect Journal Article: The Digital Road to Scientific Knowledge Diffusion; A Faster, Better Way to Scientific Progress? Citation Details In-Document Search Title: The Digital Road to Scientific Knowledge Diffusion; A Faster, Better Way to Scientific Progress? With the United States federal government spending billions annually for research and development, ways to increase the productivity of that research can have a significant return on

  18. Knowledge, Skills, and Abilities for Key Radiation Protection Positions at DOE Facilities

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    DOE-STD-1107-97 January 1997 Change Notice No. 1 November 2007 DOE STANDARD KNOWLEDGE, SKILLS, AND ABILITIES FOR KEY RADIATION PROTECTION POSITIONS AT DOE FACILITIES U.S. Department of Energy FSC 6910 Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Available on the Department of Energy Technical Standards Program Web site at http://www.hss.energy.gov/nuclearsafety/ techstds/ DOE STD-1107-97 iii 'Change Notice 1. Knowledge, Skills and

  19. The National Center for Biomedical Ontology: Advancing Biomedicinethrough Structured Organization of Scientific Knowledge

    SciTech Connect (OSTI)

    Rubin, Daniel L.; Lewis, Suzanna E.; Mungall, Chris J.; Misra,Sima; Westerfield, Monte; Ashburner, Michael; Sim, Ida; Chute,Christopher G.; Solbrig, Harold; Storey, Margaret-Anne; Smith, Barry; Day-Richter, John; Noy, Natalya F.; Musen, Mark A.

    2006-01-23

    The National Center for Biomedical Ontology (http://bioontology.org) is a consortium that comprises leading informaticians, biologists, clinicians, and ontologists funded by the NIH Roadmap to develop innovative technology and methods that allow scientists to record, manage, and disseminate biomedical information and knowledge in machine-processable form. The goals of the Center are: (1) to help unify the divergent and isolated efforts in ontology development by promoting high quality open-source, standards-based tools to create, manage, and use ontologies, (2) to create new software tools so that scientists can use ontologies to annotate and analyze biomedical data, (3) to provide a national resource for the ongoing evaluation, integration, and evolution of biomedical ontologies and associated tools and theories in the context of driving biomedical projects (DBPs), and (4) to disseminate the tools and resources of the Center and to identify, evaluate, and communicate best practices of ontology development to the biomedical community. The Center is working toward these objectives by providing tools to develop ontologies and to annotate experimental data, and by developing resources to integrate and relate existing ontologies as well as by creating repositories of biomedical data that are annotated using those ontologies. The Center is providing training workshops in ontology design, development, and usage, and is also pursuing research in ontology evaluation, quality, and use of ontologies to promote scientific discovery. Through the research activities within the Center, collaborations with the DBPs, and interactions with the biomedical community, our goal is to help scientists to work more effectively in the e-science paradigm, enhancing experiment design, experiment execution, data analysis, information synthesis, hypothesis generation and testing, and understand human disease.

  20. EPICS BASE

    Energy Science and Technology Software Center (OSTI)

    002230MLTPL00 Experimental Physics and Industrial Control System BASE http://www.aps.anl.gov/epics

  1. IMG-ABC. A knowledge base to fuel discovery of biosynthetic gene clusters and novel secondary metabolites

    SciTech Connect (OSTI)

    Hadjithomas, Michalis; Chen, I-Min Amy; Chu, Ken; Ratner, Anna; Palaniappan, Krishna; Szeto, Ernest; Huang, Jinghua; Reddy, T. B. K.; Cimermančič, Peter; Fischbach, Michael A.; Ivanova, Natalia N.; Markowitz, Victor M.; Kyrpides, Nikos C.; Pati, Amrita

    2015-07-14

    In the discovery of secondary metabolites, analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of computational platforms that enable such a systematic approach on a large scale. In this work, we present IMG-ABC (https://img.jgi.doe.gov/abc), an atlas of biosynthetic gene clusters within the Integrated Microbial Genomes (IMG) system, which is aimed at harnessing the power of “big” genomic data for discovering small molecules. IMG-ABC relies on IMG’s comprehensive integrated structural and functional genomic data for the analysis of biosynthetic gene clusters (BCs) and associated secondary metabolites (SMs). SMs and BCs serve as the two main classes of objects in IMG-ABC, each with a rich collection of attributes. A unique feature of IMG-ABC is the incorporation of both experimentally validated and computationally predicted BCs in genomes as well as metagenomes, thus identifying BCs in uncultured populations and rare taxa. We demonstrate the strength of IMG-ABC’s focused integrated analysis tools in enabling the exploration of microbial secondary metabolism on a global scale, through the discovery of phenazine-producing clusters for the first time in lphaproteobacteria. IMG-ABC strives to fill the long-existent void of resources for computational exploration of the secondary metabolism universe; its underlying scalable framework enables traversal of uncovered phylogenetic and chemical structure space, serving as a doorway to a new era in the discovery of novel molecules. IMG-ABC is the largest publicly available database of predicted and experimental biosynthetic gene clusters and the secondary metabolites they produce. The system also includes powerful search and analysis tools that are integrated with IMG’s extensive genomic/metagenomic data and analysis tool kits. As new research on biosynthetic gene clusters and secondary metabolites is published and more genomes are sequenced, IMG-ABC will continue to expand, with the goal of becoming an essential component of any bioinformatic exploration of the secondary metabolism world.

  2. IMG-ABC. A knowledge base to fuel discovery of biosynthetic gene clusters and novel secondary metabolites

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Hadjithomas, Michalis; Chen, I-Min Amy; Chu, Ken; Ratner, Anna; Palaniappan, Krishna; Szeto, Ernest; Huang, Jinghua; Reddy, T. B. K.; Cimermančič, Peter; Fischbach, Michael A.; et al

    2015-07-14

    In the discovery of secondary metabolites, analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of computational platforms that enable such a systematic approach on a large scale. In this work, we present IMG-ABC (https://img.jgi.doe.gov/abc), an atlas of biosynthetic gene clusters within the Integrated Microbial Genomes (IMG) system, which is aimed at harnessing the power of “big” genomic data for discovering small molecules. IMG-ABC relies on IMG’s comprehensive integrated structural and functional genomic data for the analysis of biosynthetic gene clusters (BCs) and associated secondary metabolites (SMs). SMs and BCs serve asmore » the two main classes of objects in IMG-ABC, each with a rich collection of attributes. A unique feature of IMG-ABC is the incorporation of both experimentally validated and computationally predicted BCs in genomes as well as metagenomes, thus identifying BCs in uncultured populations and rare taxa. We demonstrate the strength of IMG-ABC’s focused integrated analysis tools in enabling the exploration of microbial secondary metabolism on a global scale, through the discovery of phenazine-producing clusters for the first time in lphaproteobacteria. IMG-ABC strives to fill the long-existent void of resources for computational exploration of the secondary metabolism universe; its underlying scalable framework enables traversal of uncovered phylogenetic and chemical structure space, serving as a doorway to a new era in the discovery of novel molecules. IMG-ABC is the largest publicly available database of predicted and experimental biosynthetic gene clusters and the secondary metabolites they produce. The system also includes powerful search and analysis tools that are integrated with IMG’s extensive genomic/metagenomic data and analysis tool kits. As new research on biosynthetic gene clusters and secondary metabolites is published and more genomes are sequenced, IMG-ABC will continue to expand, with the goal of becoming an essential component of any bioinformatic exploration of the secondary metabolism world.« less

  3. Results of the 2004 Knowledge and Opinions Surveys for the Baseline Knowledge Assessment of the U.S. Department of Energy Hydrogen Program

    SciTech Connect (OSTI)

    Schmoyer, Richard L; Truett, Lorena Faith; Cooper, Christy

    2006-04-01

    The U.S. Department of Energy (DOE) Hydrogen Program focuses on overcoming critical barriers to the widespread use of hydrogen fuel cell technology. The transition to a new, hydrogen-based energy economy requires an educated human infrastructure. With this in mind, the DOE Hydrogen Program conducted statistical surveys to measure and establish baselines for understanding and awareness about hydrogen, fuel cells, and a hydrogen economy. The baseline data will serve as a reference in designing an education program, and it will be used in comparisons with future survey results (2008 and 2011) to measure changes in understanding and awareness. Scientific sampling was used to survey four populations: (1) the general public, ages 18 and over; (2) students, ages 12-17; (3) state and local government officials; and (4) potential large-scale hydrogen users. It was decided that the survey design should include about 1,000 individuals in each of the general public and student categories, about 250 state and local officials, and almost 100 large-scale end users. The survey questions were designed to accomplish specific objectives. Technical questions measured technical understanding and awareness of hydrogen technology. Opinion questions measured attitudes about safety, cost, the environment, and convenience, as well as the likelihood of future applications of hydrogen technology. For most of the questions, "I don't know" or "I have no opinion" were acceptable answers. Questions about information sources assessed how energy technology information is received. The General Public and Student Survey samples were selected by random digit dialing. Potential large-scale end users were selected by random sampling. The State and Local Government Survey was of the entire targeted population of government officials (not a random sample). All four surveys were administered by computer-assisted telephone interviewing (CATI). For each population, the length of the survey was less than 15

  4. Knowledge Boosting Curriculum for New Wind Industry Professionals Final Technical Report

    SciTech Connect (OSTI)

    Marsh, Ruth H; Rogers, Anthony L

    2012-12-18

    DNV Renewables (USA) Inc. (DNV KEMA) received a grant from the U.S. Department of Energy (DOE) to develop the curriculum for a series of short courses intended to address Topic Area 5 Workforce Development, one of the focus areas to achieve the goals outlined in 20% Wind by 2030: Increasing Wind Energy's Contribution to Electricity Supply. The aim of the curriculum development project was to provide material for instructors to use in a training program to help professionals transition into careers in wind energy. Under this grant DNV KEMA established a knowledge boosting program for the wind energy industry with the following objectives: 1. Develop technical training curricula and teaching materials for six key topic areas that can be implemented in a flexible format by a knowledgeable instructor. The topic areas form a foundation that can be leveraged for subsequent, more detailed learning modules (not developed in this program). 2. Develop an implementation guidance document to accompany the curricula outlining key learning objectives, implementation methods, and guidance for utilizing the curricula. This curriculum is intended to provide experienced trainers course material that can be used to provide course participants with a basic background in wind energy and wind project development. The curriculum addresses all aspects of developing a wind project, that when implemented can be put to use immediately, making the participant an asset to U.S. wind industry employers. The curriculum is comprised of six short modules, together equivalent in level of content to a one-semester college-level course. The student who completes all six modules should be able to understand on a basic level what is required to develop a wind project, speak with a reasonable level of confidence about such topics as wind resource assessment, energy assessment, turbine technology and project economics, and contribute to the analysis and review of project information. The content of the

  5. Documentation of acceptable knowledge for LANL Plutonium Facility transuranic waste streams

    SciTech Connect (OSTI)

    Montoya, A.J.; Gruetzmacher, K.; Foxx, C.; Rogers, P.S.Z.

    1998-07-01

    Characterization of transuranic waste from the LANL Plutonium Facility for certification and transportation to WIPP includes the use of acceptable knowledge as specified in the WIPP Quality Assurance Program Plan. In accordance with a site-specific procedure, documentation of acceptable knowledge for retrievably stored and currently generated transuranic waste streams is in progress at LANL. A summary overview of the transuranic waste inventory is complete and documented in the Sampling Plan. This document also includes projected waste generation, facility missions, waste generation processes, flow diagrams, times, and material inputs. The second part of acceptable knowledge documentation consists of assembling more detailed acceptable knowledge information into auditable records and is expected to require several years to complete. These records for each waste stream must support final assignment of waste matrix parameters, EPA hazardous waste numbers, and radionuclide characterization. They must also include a determination whether waste streams are defense waste streams for compliance with the WIPP Land Withdrawal Act. The LANL Plutonium Facility`s mission is primarily plutonium processing in basic special nuclear material (SNM) research activities to support national defense and energy programs. It currently has about 100 processes ranging from SNM recovery from residues to development of plutonium 238 heat sources for space applications. Its challenge is to characterize and certify waste streams from such diverse and dynamic operations using acceptable knowledge. This paper reports the progress on the certification of the first of these waste streams to the WIPP WAC.

  6. Documentation of acceptable knowledge for Los Alamos National Laboratory Plutonium Facility TRU waste stream

    SciTech Connect (OSTI)

    Montoya, A.J.; Gruetzmacher, K.M.; Foxx, C.L.; Rogers, P.Z.

    1998-03-01

    Characterization of transuranic waste from the LANL Plutonium Facility for certification and transportation to WIPP includes the use of acceptable knowledge as specified in the WIPP Quality Assurance Program Plan. In accordance with a site specific procedure, documentation of acceptable knowledge for retrievably stored and currently generated transuranic waste streams is in progress at LANL. A summary overview of the TRU waste inventory is complete and documented in the Sampling Plan. This document also includes projected waste generation, facility missions, waste generation processes, flow diagrams, times, and material inputs. The second part of acceptable knowledge documentation consists of assembling more detailed acceptable knowledge information into auditable records and is expected to require several years to complete. These records for each waste stream must support final assignment of waste matrix parameters, EPA hazardous waste numbers, and radionuclide characterization. They must also include a determination whether waste streams are defense waste streams for compliance with the WIPP Land Withdrawal Act. The LANL Plutonium Facility`s mission is primarily plutonium processing in basic special nuclear material (SNM) research activities to support national defense and energy programs. It currently has about 100 processes ranging from SNM recovery from residues to development of plutonium 238 heat sources for space applications. Its challenge is to characterize and certify waste streams from such diverse and dynamic operations using acceptable knowledge. This paper reports the progress on the certification of the first of these waste streams to the WIPP WAC.

  7. Coal Reserves Data Base report

    SciTech Connect (OSTI)

    Jones, R.W.; Glass, G.B.

    1991-12-05

    The Coal Reserves Data Base (CRDB) Program is a cooperative data base development program sponsored by the Energy Information Administration (EIA). The objective of the CRDB Program is to involve knowledgeable coal resource authorities from the major coal-bearing regions in EIA's effort to update the Nation's coal reserves data. This report describes one of two prototype studies to update State-level reserve estimates. The CRDB data are intended for use in coal supply analyses and to support analyses of policy and legislative issues. They will be available to both Government and non-Government analysts. The data also will be part of the information used to supply United States energy data for international data bases and for inquiries from private industry and the public. (VC)

  8. Research- Knowledge

    ScienceCinema (OSTI)

    None

    2011-04-25

    S.Mansholt, connu sur le marché commun de la communité européenne, est agriculteur et agronome de profession et un des pionnier et animateur des affaires d'unification européene

  9. Hydroacoustic propagation grids for the CTBT knowledge databaes BBN technical memorandum W1303

    SciTech Connect (OSTI)

    J. Angell

    1998-05-01

    The Hydroacoustic Coverage Assessment Model (HydroCAM) has been used to develop components of the hydroacoustic knowledge database required by operational monitoring systems, particularly the US National Data Center (NDC). The database, which consists of travel time, amplitude correction and travel time standard deviation grids, is planned to support source location, discrimination and estimation functions of the monitoring network. The grids will also be used under the current BBN subcontract to support an analysis of the performance of the International Monitoring System (IMS) and national sensor systems. This report describes the format and contents of the hydroacoustic knowledgebase grids, and the procedures and model parameters used to generate these grids. Comparisons between the knowledge grids, measured data and other modeled results are presented to illustrate the strengths and weaknesses of the current approach. A recommended approach for augmenting the knowledge database with a database of expected spectral/waveform characteristics is provided in the final section of the report.

  10. COMPENDIUM: SURVEYS EVALUATING KNOWLEDGE AND OPINIONS CONCERNING HYDROGEN AND FUEL CELL TECHNOLOGIES

    SciTech Connect (OSTI)

    Truett, Lorena Faith; Cooper, Christy; Schmoyer, Richard L

    2008-10-01

    This compendium updates a 2003 literature review of surveys of knowledge and opinions of hydrogen and fuel cell technologies. Its purpose is to ensure that results of comparable surveys are considered in surveys conducted by the U.S. Department of Energy (DOE). Over twice as many studies related to the DOE survey have been published since 2003 than prior to that date. The fact that there have been significantly more studies implies that there have been further demonstration projects and/or increased interest in hydrogen and fuel cell technologies. The primary findings of these 15 new surveys, all of which were conducted in Europe (E) or North America (NA), to the DOE surveys are as follows: 1.Respondents who are more educated are more accepting of hydrogen technologies (NA). 2.Respondents who are more knowledgeable about hydrogen and/or fuel cells are more accepting of hydrogen technologies (E, NA). 3.When asked about issues of trust, respondents generally expressed distrust of the government or political parties but trusted scientists and environmental protection organizations (E). 4.Technical knowledge about hydrogen and fuel cell technologies is low (E, NA). 5.Respondents may express opinions about a technology even when they are lacking in knowledge of that technology (E). 6.Women and men have different priorities when deciding on an automobile purchase (E). 7.Public acceptance to hydrogen is vulnerable to perceptions of decreased safety (E, NA). 8.Public acceptance to hydrogen is vulnerable to perceptions of increased cost (E, NA). The DOE surveys are similar to surveys that examine technical knowledge of hydrogen and fuel cell technologies, although the technical questions are certainly different. The DOE surveys are also similar to the opinion surveys in that they address many of the same issues, such as safety, sources of energy information, or trust. There are many differences between the surveys reviewed in this compendium and the DOE surveys. The

  11. Leveraging Veteran Talent: The Opportunity for the Clean Energy...

    Broader source: Energy.gov (indexed) [DOE]

    Veterans - ingrained with the "get-it-done" approach of the U.S. military - possess a ... gained through military courses; making today's U.S. military a highly technical force. ...

  12. Universities Provide Pipeline of Talent, Ideas, and Innovation...

    Office of Environmental Management (EM)

    off its first competition in Berkley, California, with seven additional contests ... that each fall, student teams across California and the West Coast apply for a chance ...

  13. Strengthening Today's Science Talent to Become Tomorrow's Science Leaders |

    Energy Savers [EERE]

    Stewards of Affordable Housing for the Future Stewards of Affordable Housing for the Future Better Buildings Multifamily Peer Exchange Call Featuring: Stewards of Affordable Housing for the Future, call slides and discussion summary, April 7, 2011. Call Slides and Discussion Summary (395.06 KB) More Documents & Publications Finance Peer Exchange Kickoff Call Better Buildings Working with Utilities Peer Exchange Call: Kick-off Shared Space vs. In-Unit Upgrades in Multifamily Buildings

  14. "Circle of Mentorship" Renews Talent at NREL - News Feature ...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    generations" of mentorship, a bond connecting his mentor's mentor, NREL Research Fellow John Turner, to former SULI intern and now NREL Senior Scientist Todd Deutsch, on through...

  15. White brings talent, energy to PPPL's small business program...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PPPL Office of Communications ) Arlene White. Last August, Arlene White looked at the agenda for a conference on small businesses the night before the event and received a...

  16. Gathering All Our Talents to Revolutionize Clean Energy | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Secretary Moniz sits with Under Secretary of Commerce for Oceans & Atmosphere and NOAA ... Secretary Moniz sits with Under Secretary of Commerce for Oceans & Atmosphere and NOAA ...

  17. America's Got Multifamily Talent (201) | Department of Energy

    Energy Savers [EERE]

    Alternative Aviation Fuel Workshop Alternative Aviation Fuel Workshop September 14, 2016 8:00AM EDT to September 15, 2016 1:00PM EDT Macon Marriott City Center 240 Coliseum Drive, Macon, GA 31217801 The aviation industry faces significant challenges to maintain growth while enhancing environmental sustainability. Alternative energy systems such as batteries, fuel cells, and natural gas are options for on-road, off-road, and marine engine applications, but these alternative fuels are not yet

  18. Mixed constraint satisfaction: A framework for decision problems under incomplete knowledge

    SciTech Connect (OSTI)

    Fargier, H.; Lang, J.; Schiex, T.

    1996-12-31

    Constraint satisfaction is a powerful tool for representing and solving decision problems with complete knowledge about the world. We extend the CSP framework so as to represent decision problems under incomplete knowledge. The basis of the extension consists in a distinction between controllable and uncontrollable variables - hence the terminology {open_quotes}mixed CSP{close_quotes} - and a {open_quotes}solution{close_quotes} gives actually a conditional decision. We study the complexity of deciding the consistency of a mixed CSP. As the problem is generally intractable, we propose an algorithm for finding an approximate solution.

  19. Sharing Knowledge for a Low-Carbon Future: Zoellick and Chu in "live"

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    discussion | Department of Energy Sharing Knowledge for a Low-Carbon Future: Zoellick and Chu in "live" discussion Sharing Knowledge for a Low-Carbon Future: Zoellick and Chu in "live" discussion July 13, 2011 - 12:00am Addthis On Wednesday July 13, World Bank President Robert B. Zoellick and US Energy Secretary Steven Chu will discuss how technology and policy can help the world move toward a low-carbon future. Their half-hour discussion at the World Bank's Washington

  20. Knowledge and abilities catalog for nuclear power plant operators: Pressurized water reactors. Revision 1

    SciTech Connect (OSTI)

    1995-08-01

    This document provides the basis for the development of content-valid licensing examinations for reactor operators and senior reactor operators. The examinations developed using the PWR catalog will cover those topics listed under Title 10, (ode of Federal Regulations Part 55. The PWR catalog contains approximately 5100 knowledge and ability (K/A) statements for reactor operators and senior reactor operators. The catalog is organized into six major sections: Catalog Organization; Generic Knowledge and Abilities; Plant Systems; Emergency and Abnormal Plant Evolutions; Components and Theory.

  1. Zero-Knowledge Arms Control: Proving a Warhead is Real while Learning

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nothing About It | Princeton Plasma Physics Lab February 28, 2015, 9:30am to 11:00am Science On Saturday MBG Auditorium Zero-Knowledge Arms Control: Proving a Warhead is Real while Learning Nothing About It Professor Robert Goldston, Professor, Astrophysical Sciences Princeton University Presentation: PDF icon SOS28FEB2015_RGoldston_ZKP on Saturday.pdf Abstract: PDF icon 7-Goldston.pdf Science On Saturday, February 28, 2015, "Zero-Knowledge Arms Control: Proving a Warhead is Real while

  2. Study Builds Knowledge of Nuclear Waste Glass, Provides Insight to Facility

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Design | Department of Energy Study Builds Knowledge of Nuclear Waste Glass, Provides Insight to Facility Design Study Builds Knowledge of Nuclear Waste Glass, Provides Insight to Facility Design April 14, 2016 - 12:40pm Addthis Simulated low-activity waste is cooled in a prototypic steel container as part of ORP-sponsored testing at a Columbia, Md., facility in September 2003. Simulated low-activity waste is cooled in a prototypic steel container as part of ORP-sponsored testing at a

  3. The study on knowledge transferring incentive for information system requirement development

    SciTech Connect (OSTI)

    Li, Yang

    2015-03-10

    Information system requirement development is a process of users’ knowledge sharing and transferring. However the tacit requirements developing is a main problem during requirement development process, for the reason of difficult to encoding, express, and communicate. Knowledge fusion and corporate effort is needed to finding tacit requirements. Under this background, our paper try to find out the rule of effort dynamic evolutionary of software developer and user by building an evolutionary game model on the condition of incentive system. And in addition this paper provides an in depth discussion at the end of this paper.

  4. Acceptable knowledge document for INEEL stored transuranic waste -- Rocky Flats Plant waste. Revision 2

    SciTech Connect (OSTI)

    1998-01-23

    This document and supporting documentation provide a consistent, defensible, and auditable record of acceptable knowledge for waste generated at the Rocky Flats Plant which is currently in the accessible storage inventory at the Idaho National Engineering and Environmental Laboratory. The inventory consists of transuranic (TRU) waste generated from 1972 through 1989. Regulations authorize waste generators and treatment, storage, and disposal facilities to use acceptable knowledge in appropriate circumstances to make hazardous waste determinations. Acceptable knowledge includes information relating to plant history, process operations, and waste management, in addition to waste-specific data generated prior to the effective date of the RCRA regulations. This document is organized to provide the reader a comprehensive presentation of the TRU waste inventory ranging from descriptions of the historical plant operations that generated and managed the waste to specific information about the composition of each waste group. Section 2 lists the requirements that dictate and direct TRU waste characterization and authorize the use of the acceptable knowledge approach. In addition to defining the TRU waste inventory, Section 3 summarizes the historical operations, waste management, characterization, and certification activities associated with the inventory. Sections 5.0 through 26.0 describe the waste groups in the inventory including waste generation, waste packaging, and waste characterization. This document includes an expanded discussion for each waste group of potential radionuclide contaminants, in addition to other physical properties and interferences that could potentially impact radioassay systems.

  5. Awareness and knowledge of methylmercury in fish in the United States

    SciTech Connect (OSTI)

    Lando, Amy M.; Zhang, Yuanting

    2011-04-15

    In the 1970s several states in the Great Lakes region became concerned about mercury contamination in lakes and rivers and were the first to issue local fish consumption advisories. In 2001, the Food and Drug Administration (FDA) advised pregnant women, nursing mothers, young children, and women who may become pregnant not to consume shark, swordfish, king mackerel, and tilefish and recommended that these women not exceed 12 ounces of other fish per week. In 2004, FDA reissued this advice jointly with the U.S. Environmental Protection Agency (EPA) and modified it slightly to provide information about consumption of canned tuna and more details about consumption of recreationally caught fish. Though several studies have examined consumers' awareness of the joint FDA and EPA advisory as well as different state advisories, few used representative data. We examined the changes in awareness and knowledge of mercury as a problem in fish using the pooled nationally representative 2001 and 2006 Food Safety Surveys (FSS) with sample sizes of 4482 in 2001 and 2275 in 2006. Our results indicated an increase in consumers' awareness of mercury as a problem in fish (69% in 2001 to 80% in 2006, p<.001). In our regression models, we found that in both years, parents having children less than 5 years of age were more aware of mercury in fish and knowledgeable about the information contained in the national advisories about mercury in fish (p<.01) than other adults. In both 2001 and 2006, women of childbearing age (aged 18-45) were less aware and knowledgeable about this information than other women. However, women of all age groups had larger gains in awareness and knowledge than their male counterparts during this time. Participants' race, education, income, region, fish preparation experiences, having a foodborne illness in the past year, and risk perceptions about the safety of food were significant predictors of their awareness and knowledge. - Research highlights: {yields} We

  6. The U.S. Department of Energy Formerly Utilized Sites Remedial Action Program: Ensuring Protectiveness and Preserving Knowledge

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy Formerly Utilized Sites Remedial Action Program: Ensuring Protectiveness and Preserving Knowledge (Waste Management Conference 2010)

  7. Knowledge Management Initiatives Used to Maintain Regulatory Expertise in Transportation and Storage of Radioactive Materials - 12177

    SciTech Connect (OSTI)

    Lindsay, Haile; Garcia-Santos, Norma; Saverot, Pierre; Day, Neil; Gambone Rodriguez, Kimberly; Cruz, Luis; Sotomayor-Rivera, Alexis; Vechioli, Lucieann; Vera, John; Pstrak, David

    2012-07-01

    The U.S. Nuclear Regulatory Commission (NRC) was established in 1974 with the mission to license and regulate the civilian use of nuclear materials for commercial, industrial, academic, and medical uses in order to protect public health and safety, and the environment, and promote the common defense and security. Currently, approximately half (∼49%) of the workforce at the NRC has been with the Agency for less than six years. As part of the Agency's mission, the NRC has partial responsibility for the oversight of the transportation and storage of radioactive materials. The NRC has experienced a significant level of expertise leaving the Agency due to staff attrition. Factors that contribute to this attrition include retirement of the experienced nuclear workforce and mobility of staff within or outside the Agency. Several knowledge management (KM) initiatives have been implemented within the Agency, with one of them including the formation of a Division of Spent Fuel Storage and Transportation (SFST) KM team. The team, which was formed in the fall of 2008, facilitates capturing, transferring, and documenting regulatory knowledge for staff to effectively perform their safety oversight of transportation and storage of radioactive materials, regulated under Title 10 of the Code of Federal Regulations (10 CFR) Part 71 and Part 72. In terms of KM, the SFST goal is to share critical information among the staff to reduce the impact from staff's mobility and attrition. KM strategies in place to achieve this goal are: (1) development of communities of practice (CoP) (SFST Qualification Journal and the Packaging and Storing Radioactive Material) in the on-line NRC Knowledge Center (NKC); (2) implementation of a SFST seminar program where the seminars are recorded and placed in the Agency's repository, Agency-wide Documents Access and Management System (ADAMS); (3) meeting of technical discipline group programs to share knowledge within specialty areas; (4) development of

  8. A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic

    SciTech Connect (OSTI)

    Andrzejewski, D; Zhu, X; Craven, M; Recht, B

    2011-01-18

    Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Fold-all model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) research community. Experiments demonstrate the expressive power of Fold-all, as well as the scalability of our proposed inference method.

  9. What is the value of scientific knowledge? An application to global warminig using the PRICE model

    SciTech Connect (OSTI)

    Nordhaus, W.D.; Popp, D.

    1997-02-01

    The question that this study addresses is: What is the value of the new knowledge about climate change? If natural and social scientists succeed in improving their understanding, what will be the payoff in terms of improved economic performance? For example, if the uncertainties are resolved in favor of those who argue that global warming will be minimal or beneficial, then this knowledge will allow countries to avoid expensive investments in non-carbon energy technologies or in expensive conservation efforts. On the other hand, if the worst fears prove correct, then the globe can mend its ways early so as to prevent later dislocations, famines, or inundations. To the extent that the investments are expensive or the consequences are grave, early information can be extremely valuable. 15 refs., 8 figs.

  10. Process Knowledge Summary Report for Materials and Fuels Complex Contact-Handled Transuranic Debris Waste

    SciTech Connect (OSTI)

    R. P. Grant; P. J. Crane; S. Butler; M. A. Henry

    2010-02-01

    This Process Knowledge Summary Report summarizes the information collected to satisfy the transportation and waste acceptance requirements for the transfer of transuranic (TRU) waste between the Materials and Fuels Complex (MFC) and the Advanced Mixed Waste Treatment Project (AMWTP). The information collected includes documentation that addresses the requirements for AMWTP and the applicable portion of their Resource Conservation and Recovery Act permits for receipt and treatment of TRU debris waste in AMWTP. This report has been prepared for contact-handled TRU debris waste generated by the Idaho National Laboratory at MFC. The TRU debris waste will be shipped to AMWTP for purposes of supercompaction. This Process Knowledge Summary Report includes information regarding, but not limited to, the generation process, the physical form, radiological characteristics, and chemical contaminants of the TRU debris waste, prohibited items, and packaging configuration. This report, along with the referenced supporting documents, will create a defensible and auditable record for waste originating from MFC.

  11. OSTIblog Articles in the scientific knowledge Topic | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information knowledge Topic The Benefits of Investments in Basic Research by Peter Lincoln 01 Nov, 2009 in Science Communications Long-term investments in basic research produce the major conceptual breakthroughs necessary for creating radically new technologies. To be sure, scientists cannot make specific promises about future advances, and there often are long delays in the applications that arise from basic research. Furthermore, sometimes applied

  12. Knowledge and abilities catalog for nuclear power plant operators: Boiling water reactors, Revision 1

    SciTech Connect (OSTI)

    1995-08-01

    The Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Boiling-Water Reactors (BWRs) (NUREG-1123, Revision 1) provides the basis for the development of content-valid licensing examinations for reactor operators (ROs) and senior reactor operators (SROs). The examinations developed using the BWR Catalog along with the Operator Licensing Examiner Standards (NUREG-1021) and the Examiner`s Handbook for Developing Operator Licensing Written Examinations (NUREG/BR-0122), will cover the topics listed under Title 10, Code of Federal Regulations, Part 55 (10 CFR 55). The BWR Catalog contains approximately 7,000 knowledge and ability (K/A) statements for ROs and SROs at BWRs. The catalog is organized into six major sections: Organization of the Catalog, Generic Knowledge and Ability Statements, Plant Systems grouped by Safety Functions, Emergency and Abnormal Plant Evolutions, Components, and Theory. Revision 1 to the BWR Catalog represents a modification in form and content of the original catalog. The K/As were linked to their applicable 10 CFR 55 item numbers. SRO level K/As were identified by 10 CFR 55.43 item numbers. The plant-wide generic and system generic K/As were combined in one section with approximately one hundred new K/As. Component Cooling Water and Instrument Air Systems were added to the Systems Section. Finally, High Containment Hydrogen Concentration and Plant Fire On Site evolutions added to the Emergency and Abnormal Plant Evolutions section.

  13. Acceptable Knowledge Summary Report for Waste Stream: SR-T001-221F-HET/Drums

    SciTech Connect (OSTI)

    Lunsford, G.F.

    1999-06-14

    This report is fully responsive to the requirements of Section 4.0 Acceptable Knowledge from the WIPP Transuranic Waste Characterization Quality Assurance Plan, CAO-94-1010, and provides a sound, (and auditable) characterization that satisfies the WIPP criteria for Acceptable Knowledge.

  14. The role of acceptable knowledge in transuranic waste disposal operations - 11117

    SciTech Connect (OSTI)

    Chancellor, Christopher John; Nelson, Roger

    2010-11-08

    The Acceptable Knowledge (AK) process plays a key role in the delineation of waste streams destined for the Waste Isolation Pilot Plant (WIPP). General Electric's Vallecitos Nuclear Center (GEVNC) provides for an ideal case study of the application of AK in a multiple steward environment. In this review we will elucidate the pivotal role Acceptable Knowledge played in segregating Department of Energy (DOE) responsibilities from a commercial facility. The Acceptable Knowledge process is a necessary component of waste characterization that determines whether or not a waste stream may be considered for disposal at the WIPP site. This process may be thought of as an effort to gain a thorough understanding of the waste origin, chemical content, and physical form gleaned by the collection of documentation that concerns generator/storage site history, mission, and operations; in addition to waste stream specific information which includes the waste generation process, the waste matrix, the quantity of waste concerned, and the radiological and chemical make up of the waste. The collection and dissemination of relevant documentation is the fundamental requirement for the AK process to work. Acceptable Knowledge is the predominant process of characterization and, therefore, a crucial part of WIPP's transuranic waste characterization program. This characterization process, when conducted to the standards set forth in WIPP's operating permit, requires confirmation/verification by physical techniques such as Non-Destructive Examination (NDE), Visual Examination (VE), and Non-Destructive Assay (NDA). These physical characterization techniques may vary in their appropriateness for a given waste stream; however, nothing will allow the substitution or exclusion of AK. Beyond the normal scope of operations, AK may be considered, when appropriate, a surrogate for the physical characterization techniques in a procedure that appeals to concepts such As Low As Reasonably Achievable

  15. What Hansel and Gretels Trail Teach Us about Knowledge Management

    SciTech Connect (OSTI)

    Wayne Simpson; Troy Hiltbrand

    2011-09-01

    Background At Idaho National Laboratory (INL), we are on the cusp of a significant era of change. INL is the lead Department of Energy Nuclear Research and Development Laboratory, focused on finding innovative solutions to the nations energy challenges. Not only has the Laboratory grown at an unprecedented rate over the last five years, but also has a significant segment of its workforce that is ready for retirement. Over the next 10 years, it is anticipated that upwards of 60% of the current workforce at INL will be eligible for retirement. Since the Laboratory is highly dependent on the intellectual capabilities of its scientists and engineers and their efforts to ensure the future of the nations energy portfolio, this attrition of resources has the potential of seriously impacting the ability of the Laboratory to sustain itself and the growth that it has achieved in the past years. Similar to Germany in the early nineteenth century, we face the challenge of our self-identity and must find a way to solidify our legacy to propel us into the future. Approach As the Brothers Grimm set out to collect their fairy tales, they focused on gathering information from the people that were most knowledgeable in the subject. For them, it was the peasants, with their rich knowledge of the regions sub-culture of folk lore that was passed down from generation to generation around the evening fire. As we look to capture this tacit knowledge, it is requisite that we also seek this information from those individuals that are most versed in it. In our case, it is the scientists and researchers who have dedicated their lives to providing the nation with nuclear energy. This information comes in many forms, both digital and non-digital. Some of this information still resides in the minds of these scientists and researchers who are close to retirement, or who have already retired. Once the information has been collected, it has to be sorted through to identify where the shining

  16. Representation of genomics research among Latin American laymen and bioethics: a inquiry into the migration of knowledge and its impact on underdeveloped communities

    SciTech Connect (OSTI)

    Fernando Lolas; Carolina Valdebenito; Eduardo Rodrguez; Irene Schiattino; Adelio Misseroni

    2007-07-09

    are thus unknown. These effects are interesting on two accounts. First, even if underdeveloped countries cannot replicate the technical aspects of research, their influence on social practices is not kept within geographical or language barriers. The way they are handled in developed countries may become part of resistances to ethical imperialism. Second, these advances have economic consequences. Their full understanding and the creation of a scientific literacy essential for sound ethical analysis demand the creation of receptive capacity in developing countries. The morality of genomics research and its applications can be analyzed from two main vantage points. Some traditions stress the ethics of convictions (in Max Webers terms, Gesinnungsethik) while others rely on the ethics of responsibility (Verantwortungsethik). In different forms, the latter deals with the consequences of social action, scientific research in this case, and may or may not be related to utilitarian considerations. It may be hypothesized that convictions, mostly of a religious nature, dominate the argumentative preferences in Latin countries and continental European traditions which rely on virtues while responsibility is associated with a discourse based on rights prevalent in countries following the Anglo-Saxon pattern of thought. This finds expression in different legal systems (common law versus codes) and in the language used for deliberation and moral reasoning. Although results of US-based ELSI research may not be transferable to other cultural and economic contexts, they impact other societies and serve as models. Rarely do they apply completely in other settings. In a globalized world, both appropriate understanding of the scientific enterprise and its ethical or economic sustainability demand empirical analysis of the patterns of thought, main beliefs, and reactions toward the new knowledge and its applications. Anecdotal accounts show that expectations may be misleading and

  17. The Olympics of science knowledge at PPPL's NJ Regional Science Bowl |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Princeton Plasma Physics Lab The Olympics of science knowledge at PPPL's NJ Regional Science Bowl By Jeanne Jackson DeVoe March 3, 2014 Tweet Widget Google Plus One Share on Facebook The J Droids, a science club in Warren, N.J., at the end of a long day of competing with the Science Bowl trophies in the foreground. They took home the largest of the trophies after winning the U.S. Department of Energy's New Jersey Regional Middle School Science Bowl on Feb. 21. (Photo by Elle Starkman/PPPL

  18. EM-31 RETRIEVAL KNOWLEDGE CENTER MEETING REPORT: MOBILIZE AND DISLODGE TANK WASTE HEELS

    SciTech Connect (OSTI)

    Fellinger, A.

    2010-02-16

    The Retrieval Knowledge Center sponsored a meeting in June 2009 to review challenges and gaps to retrieval of tank waste heels. The facilitated meeting was held at the Savannah River Research Campus with personnel broadly representing tank waste retrieval knowledge at Hanford, Savannah River, Idaho, and Oak Ridge. This document captures the results of this meeting. In summary, it was agreed that the challenges to retrieval of tank waste heels fell into two broad categories: (1) mechanical heel waste retrieval methodologies and equipment and (2) understanding and manipulating the heel waste (physical, radiological, and chemical characteristics) to support retrieval options and subsequent processing. Recent successes and lessons from deployments of the Sand and Salt Mantis vehicles as well as retrieval of C-Area tanks at Hanford were reviewed. Suggestions to address existing retrieval approaches that utilize a limited set of tools and techniques are included in this report. The meeting found that there had been very little effort to improve or integrate the multiple proven or new techniques and tools available into a menu of available methods for rapid insertion into baselines. It is recommended that focused developmental efforts continue in the two areas underway (low-level mixing evaluation and pumping slurries with large solid materials) and that projects to demonstrate new/improved tools be launched to outfit tank farm operators with the needed tools to complete tank heel retrievals effectively and efficiently. This document describes the results of a meeting held on June 3, 2009 at the Savannah River Site in South Carolina to identify technology gaps and potential technology solutions to retrieving high-level waste (HLW) heels from waste tanks within the complex of sites run by the U. S. Department of Energy (DOE). The meeting brought together personnel with extensive tank waste retrieval knowledge from DOE's four major waste sites - Hanford, Savannah River

  19. Integrating Ontological Knowledge and Textual Evidence in Estimating Gene and Gene Product Similarity

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Posse, Christian; Gopalan, Banu; Tratz, Stephen C.; Gregory, Michelle L.

    2006-06-08

    With the rising influence of the Gene On-tology, new approaches have emerged where the similarity between genes or gene products is obtained by comparing Gene Ontology code annotations associ-ated with them. So far, these approaches have solely relied on the knowledge en-coded in the Gene Ontology and the gene annotations associated with the Gene On-tology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature.

  20. Origins of weak lensing systematics, and requirements on future instrumentation (or knowledge of instrumentation)

    SciTech Connect (OSTI)

    Massey, Richard; Hoekstra, Henk; Kitching, Thomas; Rhodes, Jason; Cropper, Mark; Amiaux, Jerome; Harvey, David; Mellier, Yannick; Meneghetti, Massimo; Miller, Lance; Paulin-Henriksson, Stephane; Pires, Sandrine; Scaramella, Roberto; Schrabback, Tim

    2012-12-13

    The first half of this paper explores the origin of systematic biases in the measurement of weak gravitational lensing. Compared to previous work, we expand the investigation of point spread function instability and fold in for the first time the effects of non-idealities in electronic imaging detectors and imperfect galaxy shape measurement algorithms. In addition, these now explain the additive A(?) and multiplicative M(?) systematics typically reported in current lensing measurements. We find that overall performance is driven by a product of a telescope/camera's absolute performance, and our knowledge about its performance.

  1. COLLOQUIUM: "The Usefulness of Useless Knowledge": The History of the

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Institute for Advanced Study | Princeton Plasma Physics Lab January 29, 2014, 4:00pm to 5:30pm Colloquia MBG Auditorium COLLOQUIUM: "The Usefulness of Useless Knowledge": The History of the Institute for Advanced Study Christine Di Bella Institute for Advanced Study Abstract: PDF icon COLL.01.29.14.pdf A private, independent academic institution in Princeton, New Jersey, the Institute for Advanced Study is one of the world's leading centers for theoretical research and intellectual

  2. Long-Term Surveillance and Maintenance Records: Maintaining Access to the Knowledge - 13122

    SciTech Connect (OSTI)

    Montgomery, John; Gueretta, Jeanie; McKinney, Ruth; Anglim, Cliff

    2013-07-01

    The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is an integral part of DOE's strategy to ensure that legacy liabilities of former nuclear weapons production sites are properly managed following the completion of environmental cleanup activities. In the area of environmental legacy management, records management is crucial to the protection of health, environmental, and legal interests of the Department and the public. LM is responsible for maintaining long-term surveillance and maintenance (LTS and M) records in performance of its mission. Maintaining access to the knowledge contained in these record collections is one of LM's primary responsibilities. To fulfill this responsibility, LM established a consolidated records management facility, the LM Business Center (LMBC), to house physical media records and electronic records. A new electronic record keeping system (ERKS) was needed to replace an obsolete system while helping to ensure LM is able to meet ongoing responsibilities to maintain access to knowledge and control the life cycle management of records. (authors)

  3. Issues in object-oriented data-base schemas

    SciTech Connect (OSTI)

    Kim, H.J.

    1988-01-01

    The successful use of data-base management systems in data-processing applications has created a substantial amount of interest in applying data-base techniques to such areas as knowledge bases and artificial intelligence (AI), computer-aided design (CAD), and office information systems (OIS). The practical applications of object-oriented data bases, such as CAD, AI, and OIS require the ability to dynamically make a wide variety of changes to the data-base schema. This process is called schema evolution, for which the author establishes a consistent and complete framework. Based on his framework, the MCC ODBS group implemented a schema manager within the prototype object-oriented data-base system, ORION. On top of the schema manager of ORION, a graphical editor PSYCHO was implemented. A technique is presented that enables users to manipulate schema versions explicitly and maintain schema-evolution histories in object-oriented data-base environments.

  4. Nuclear Energy Knowledge and Validation Center (NEKVaC) Needs Workshop Summary Report

    SciTech Connect (OSTI)

    Gougar, Hans

    2015-02-01

    The Department of Energy (DOE) has made significant progress developing simulation tools to predict the behavior of nuclear systems with greater accuracy and of increasing our capability to predict the behavior of these systems outside of the standard range of applications. These analytical tools require a more complex array of validation tests to accurately simulate the physics and multiple length and time scales. Results from modern simulations will allow experiment designers to narrow the range of conditions needed to bound system behavior and to optimize the deployment of instrumentation to limit the breadth and cost of the campaign. Modern validation, verification and uncertainty quantification (VVUQ) techniques enable analysts to extract information from experiments in a systematic manner and provide the users with a quantified uncertainty estimate. Unfortunately, the capability to perform experiments that would enable taking full advantage of the formalisms of these modern codes has progressed relatively little (with some notable exceptions in fuels and thermal-hydraulics); the majority of the experimental data available today is the "historic" data accumulated over the last decades of nuclear systems R&D. A validated code-model is a tool for users. An unvalidated code-model is useful for code developers to gain understanding, publish research results, attract funding, etc. As nuclear analysis codes have become more sophisticated, so have the measurement and validation methods and the challenges that confront them. A successful yet cost-effective validation effort requires expertise possessed only by a few, resources possessed only by the well-capitalized (or a willing collective), and a clear, well-defined objective (validating a code that is developed to satisfy the need(s) of an actual user). To that end, the Idaho National Laboratory established the Nuclear Energy Knowledge and Validation Center to address the challenges of modern code validation and to

  5. Knowledge, skills, and abilities for key radiation protection positions at DOE facilities

    SciTech Connect (OSTI)

    1997-01-01

    This document provides detailed qualification criteria for contractor key radiation protection personnel. Although federal key radiation protection positions are also identified, qualification standards for federal positions are provided in DOE O 360.1 and the DOE Technical Qualifications Program. Appendices B and D provide detailed listings for knowledge, skills, and abilities for contractor and DOE federal key radiation protection positions. This information may be used in developing position descriptions and individual development plans. Information provided in Appendix C may be useful in developing performance measures and assessing an individual`s performance in his or her specific position. Additionally, Federal personnel may use this information to augment their Office/facility qualification standards under the Technical Qualifications Program.

  6. Using Process Knowledge to Manage Disposal Classification of Ion-Exchange Resin - 13566

    SciTech Connect (OSTI)

    Bohnsack, Jonathan N.; James, David W.

    2013-07-01

    It has been previously shown by EPRI [1] that Class B and C resins represent a small portion by volume of the overall generation of radioactively contaminated resins. In fact, if all of the resins were taken together the overall classification would meet Class A disposal requirements. Lowering the classification of the ion exchange resins as they are presented for disposal provides a path for minimizing the amount of waste stored. Currently there are commercial options for blending wastes from various generators for Class A disposal in development. The NRC may have by this time introduced changes and clarifications to the Branch Technical Position (BTP) on Concentration Averaging and Encapsulation [2] that may ultimately add more flexibility to what can be done at the plant level. The BTP has always maintained that mixtures of resins that are combined for ALARA purposes or operational efficiency can be classified on the basis of the mixture. This is a point often misinterpreted and misapplied. This paper will address options that can be exercised by the generator that can limit B and C waste generation by more rigorous tracking of generation and taking advantage of the normal mix of wastes. This can be achieved through the monitoring of reactor coolant chemistry data and coupled with our knowledge of radionuclide production mechanisms. This knowledge can be used to determine the overall accumulation of activity in ion-exchange resins and provides a 'real-time' waste classification determination of the resin and thereby provide a mechanism to reduce the production of waste that exceeds class A limits. It should be noted that this alternative approach, although rarely used in a nuclear power plant setting, is acknowledged in the original BTP on classification [3] as a viable option for determining radionuclide inventories for classification of waste. Also included is a discussion of an examination performed at the Byron plant to estimate radionuclide content in the

  7. A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS

    SciTech Connect (OSTI)

    Race, Caitlin; Steinbach, Michael; Ganguly, Auroop R; Semazzi, Fred; Kumar, Vipin

    2010-01-01

    The connections among greenhouse-gas emissions scenarios, global warming, and frequencies of hurricanes or tropical cyclones are among the least understood in climate science but among the most fiercely debated in the context of adaptation decisions or mitigation policies. Here we show that a knowledge discovery strategy, which leverages observations and climate model simulations, offers the promise of developing credible projections of tropical cyclones based on sea surface temperatures (SST) in a warming environment. While this study motivates the development of new methodologies in statistics and data mining, the ability to solve challenging climate science problems with innovative combinations of traditional and state-of-the-art methods is demonstrated. Here we develop new insights, albeit in a proof-of-concept sense, on the relationship between sea surface temperatures and hurricane frequencies, and generate the most likely projections with uncertainty bounds for storm counts in the 21st-century warming environment based in turn on the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. Our preliminary insights point to the benefits that can be achieved for climate science and impacts analysis, as well as adaptation and mitigation policies, by a solution strategy that remains tailored to the climate domain and complements physics-based climate model simulations with a combination of existing and new computational and data science approaches.

  8. Public knowledge and perceptions of chemical risks in six communities: Analysis of a baseline survey. Final report on Phase 1

    SciTech Connect (OSTI)

    McCallum, D.B.; Hammond, S.L.; Morris, L.A.; Covello, V.T.

    1990-01-01

    A survey of public knowledge and perceptions of chemical risk was conducted in six communities. The purpose was to establish a baseline for evaluating change over time in knowledge, attitudes, and behaviors in response to new information about toxic chemicals, especially as related to Superfund, the Community Right-to-Know Law (SARA Title III), and other risk communication activities. During July and August, 1988, over 500 citizens responded to a 25-minute telephone survey in each city: Albuquerque NM, Cincinnati, OH, Durham NC, Middlesex County NJ, Racine WI, and Richmond VA. The report provides an overview of how citizens in these communities view environmental risks, and how the communities differ in their basic knowledge and attitudes about such risks. Recommendations are provided, for use in preparing risk communication programs and materials.

  9. Behavior Based Energy Efficiency (BBEE)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on encouraging the adoption of energy efficient technology. There is a substantial body of knowledge and experience associated with behavior change that is rooted in the...

  10. General Technical Base Qualification Standard

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... NUCLEAR FUNDAMENTALS 1. Personnel shall demonstrate a familiarity level knowledge of basic ... (mgm 3 ) * Hierarchy of controls (engineering, substitution, administrative, PPE) * ...

  11. The effect of information sources on the structure and content of environmental knowledge

    SciTech Connect (OSTI)

    Austin, D. . School of Natural Resources)

    1993-01-01

    A characteristic of the subject matter of many fields of science, such as physics and geology, is the clear, hierarchical relationship of many of the concepts to one another. One of the trademarks for which environmental topics have been noted, however, is the lack of clear structure. Instead, these topics incorporate, at a minimum, information from several subject areas in both the natural and social sciences. For example, the necessity for environmental decision makers to consider effects to water and soil, to habitats and human health, and to economic and transportation systems is not uncommon. Theories of cognitive mapping have been successfully applied to problems of environmental planning and landscape design. Despite their demonstrated value, however, theories addressing human cognition in the environment have not become widely recognized or applied in environmental policy-making. Incorporating cognitive theories, the author has created and used a modified individual cognitive mapping technique to investigate both the content and structure of individuals' knowledge of a particular environmental issue, the siting of a hazardous waste incineration facility. Participants in the study were chosen because of their involvement in the decision to consider the placement of an incineration facility on Indian land in their region. Due to the complexity of siting a hazardous waste facility on tribal council members, waste company representatives, federal government employees, city officials, and both local and national environmental activists. In additions to the cognitive maps, the author collected information regarding the sources of information and each participant's perception of the reliability of that information.

  12. The Problem with Continuity of Knowledge in Enrichment Plant Process Monitoring

    SciTech Connect (OSTI)

    Curtis, Michael M.

    2009-08-01

    It has been three years since the new Gas Centrifuge Enrichment Plant (GCEP) Model Safeguards Approach was approved for implementation by the International Atomic Energy Agency’s Department of Safeguards. Among its recommendations are safeguard measures that place greater emphasis on instrumentation in the process area (Cooley 2007). Irrespective of the compelling technologies, an often overlooked impediment to the application of such instrumentation is maintenance of continuity of knowledge on material that has been identified as abnormal. Any instrument purporting to identify problems in the process area should include some means of containing or monitoring that material until International Atomic Energy Agency (IAEA) inspectors can arrive to confirm the discrepancy. If no containment or surveillance is employed in the interim, and no discrepancy or anomaly is subsequently uncovered in storage cylinders, it is unclear what follow-up action inspectors can take. Some CoK measures have been proposed, but they usually involve an array of cameras or host-applied seals—options that may require a backup system of their own.

  13. SOARCA Peach Bottom Atomic Power Station Long-Term Station Blackout Uncertainty Analysis: Knowledge Advancement.

    SciTech Connect (OSTI)

    Gauntt, Randall O.; Mattie, Patrick D.; Bixler, Nathan E.; Ross, Kyle; Cardoni, Jeffrey N; Kalinich, Donald A.; Osborn, Douglas M.; Sallaberry, Cedric Jean-Marie; Ghosh, S. Tina

    2014-02-01

    This paper describes the knowledge advancements from the uncertainty analysis for the State-of- the-Art Reactor Consequence Analyses (SOARCA) unmitigated long-term station blackout accident scenario at the Peach Bottom Atomic Power Station. This work assessed key MELCOR and MELCOR Accident Consequence Code System, Version 2 (MACCS2) modeling uncertainties in an integrated fashion to quantify the relative importance of each uncertain input on potential accident progression, radiological releases, and off-site consequences. This quantitative uncertainty analysis provides measures of the effects on consequences, of each of the selected uncertain parameters both individually and in interaction with other parameters. The results measure the model response (e.g., variance in the output) to uncertainty in the selected input. Investigation into the important uncertain parameters in turn yields insights into important phenomena for accident progression and off-site consequences. This uncertainty analysis confirmed the known importance of some parameters, such as failure rate of the Safety Relief Valve in accident progression modeling and the dry deposition velocity in off-site consequence modeling. The analysis also revealed some new insights, such as dependent effect of cesium chemical form for different accident progressions. (auth)

  14. Next Generation Climate Change Experiments Needed to Advance Knowledge and for Assessment of CMIP6

    SciTech Connect (OSTI)

    Katzenberger, John; Arnott, James; Wright, Alyson

    2014-10-30

    The Aspen Global Change Institute hosted a technical science workshop entitled, Next generation climate change experiments needed to advance knowledge and for assessment of CMIP6, on August 4-9, 2013 in Aspen, CO. Jerry Meehl (NCAR), Richard Moss (PNNL), and Karl Taylor (LLNL) served as co-chairs for the workshop which included the participation of 32 scientists representing most of the major climate modeling centers for a total of 160 participant days. In August 2013, AGCI gathered a high level meeting of representatives from major climate modeling centers around the world to assess achievements and lessons learned from the most recent generation of coordinated modeling experiments known as the Coupled Model Intercomparison Project 5 (CMIP5) as well as to scope out the science questions and coordination structure desired for the next anticipated phase of modeling experiments called CMIP6. The workshop allowed for reflection on the coordination of the CMIP5 process as well as intercomparison of model results, such as were assessed in the most recent IPCC 5th Assessment Report, Working Group 1. For example, this slide from Masahiro Watanabe examines performance on a range of models capturing Atlantic Meridional Overturning Circulation (AMOC).

  15. Pathways to genetic screening: Patient knowledges, Patient practices. Technical report of research progress

    SciTech Connect (OSTI)

    Not Available

    1994-08-29

    This study is designed to clarify the integration of genetic knowledge into the lived experience of high-risk family members. A major focus is elucidation of the social and cultural barriers and bridges to the use of genetic information to increase reproductive options and improve the quality of family life. They study focuses on families at risk for cystic fibrosis and sickle cell disease. These two disease groups were selected because they are among the most common potentially lethal genetic diseases and because while each has a similar pattern of inheritance and raises similarly serious bio-medical challenges and issues of information management, they primarily affect different racial and ethno-cultural groups permitting a naturally occurring experiment. In the variable penetration and meaning of genetic medicine in two populations. We have conducted intensive interviews with more than 300 individuals in approximately 88 families. We have attempted to balance the effort equally between the two groups, but have found we are able to penetrate the family systems of the cystic fibrosis families more easily than the sickle cell families.

  16. Review of the Current State of Knowledge on the Effects of Radiation on Concrete

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Rosseel, Thomas M.; Maruyama, Ippei; Le Pape, Yann; Kontani, Osamu; Giorla, Alain B.; Remec, Igor; Wall, James J.; Sircar, Madhumita; Andrade, Carmen; Ordonez, Manuel

    2016-07-01

    A review of the current state of knowledge on the effects of radiation on concrete in nuclear applications is presented. Emphasis is placed on the effects of radiation damage as reflected by changes in engineering properties of concrete in the evaluation of the long-term operation (LTO) and for Plant Life or Aging Management of nuclear power plants (NPPs) in Japan, Spain, and the United States. National issues and concerns are described for Japan and the US followed by a discussion of the fundamental understanding of the effects radiation on concrete. Specifically, the effects of temperature, moisture content, and irradiation onmore » ordinary Portland cement paste and the role of temperature and neutron energy spectra on radiation induced volumetric expansion (RIVE) of aggregate-forming minerals are described. This is followed by a discussion of the bounding conditions for extended operation, the significance of accelerated irradiation conditions, the role of temperature, creep, and how these issues are being incorporated into numerical and meso-scale models. From these insights on radiation damage, analyses of these effects on concrete structures are reviewed and the current status of work in Japan and the US are described. Also discussed is the recent formation of a new international scientific and technical organization, the International Committee on Irradiated Concrete (ICIC), to provide a forum for timely information exchanges among organizations pursuing the identification, quantification, and modeling of the effects of radiation on concrete in commercial nuclear applications. Lastly, the paper concludes with a discussion of research gaps including: 1) interpreting test-reactor data, 2) evaluating service-irradiated concrete for aging management and to inform radiation damage models with the Zorita NPP (Spain) serving as the first comprehensive test case, 3) irradiated-assisted alkali-silica reactions, and 4) RIVE under constrained conditions.« less

  17. Enhancing Automatic Biological Pathway Generation with GO-based Gene Similarity

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Baddeley, Robert L.; Beagley, Nathaniel; Riensche, Roderick M.; Gopalan, Banu

    2009-08-03

    One of the greatest challenges in today’s analysis of microarray gene expression data is to identify pathways across regulated genes that underlie structural and functional changes of living cells in specific pathologies. Most current approaches to pathway generation are based on a reverse engineering approach in which pathway plausibility is solely induced from observed pathway data. These approaches tend to lack in generality as they are too dependent on the pathway observables from which they are induced. By contrast, alternative approaches that rely on prior biological knowledge may err in the opposite direction as the prior knowledge is usually not sufficiently tuned to the pathology of focus. In this paper, we present a novel pathway generation approach which combines insights from the reverse engineering and knowledge-based approaches to increase the biological plausibility and specificity of induced regulatory networks.

  18. Evaluation of computer-based ultrasonic inservice inspection systems

    SciTech Connect (OSTI)

    Harris, R.V. Jr.; Angel, L.J.; Doctor, S.R.; Park, W.R.; Schuster, G.J.; Taylor, T.T.

    1994-03-01

    This report presents the principles, practices, terminology, and technology of computer-based ultrasonic testing for inservice inspection (UT/ISI) of nuclear power plants, with extensive use of drawings, diagrams, and LTT images. The presentation is technical but assumes limited specific knowledge of ultrasonics or computers. The report is divided into 9 sections covering conventional LTT, computer-based LTT, and evaluation methodology. Conventional LTT topics include coordinate axes, scanning, instrument operation, RF and video signals, and A-, B-, and C-scans. Computer-based topics include sampling, digitization, signal analysis, image presentation, SAFI, ultrasonic holography, transducer arrays, and data interpretation. An evaluation methodology for computer-based LTT/ISI systems is presented, including questions, detailed procedures, and test block designs. Brief evaluations of several computer-based LTT/ISI systems are given; supplementary volumes will provide detailed evaluations of selected systems.

  19. Grid-based Production

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Grid-based Production Grid-based Production PDSF is a Tier 2 site for ALICE and as such has the infrastructure in place to run automated grid-based ALICE production jobs. The main...

  20. Acceptable Knowledge Summary Report for Waste Stream: SR-T001-221F-HET/Drums

    SciTech Connect (OSTI)

    Lunsford, G.F.

    1999-08-23

    Since beginning operations in 1954, the Department of Energy's Savannah River Site FB-Line conducted atomic energy defense activities consistent with the listing in Section 10101(3) of the Nuclear Waste Policy Act of 1982. The facility mission was to process and convert dilute plutonium solution into highly purified weapons grade plutonium metal. As a result of various activities conducted in support of the mission (e.g., operation, maintenance, repair, clean up, and facility modifications), the facility generated transuranic waste. This document, along with referenced supporting documents, provides a defensible and auditable record of acceptable knowledge for one of the waste streams from the FB-Line. The waste was packaged in 55-gallon drums, then shipped to the transuranic waste storage facility in ''E'' area of the Savannah River Site. This acceptable knowledge report includes information relating to the facility's history, configuration,equipment, process operations, and waste management practices.

  1. Science-Based Strategy

    Broader source: Energy.gov (indexed) [DOE]

    ... Additionally, amine-based sorbents are scalable for use in industrial applications, including coal combustion and gasification-based power generating systems. Application of this ...

  2. Tethys: The Marine and Hydrokinetic Technology Environmental Impacts Knowledge Management System -- Requirements Specification -- Version 1.0

    SciTech Connect (OSTI)

    Butner, R. Scott; Snowden-Swan, Lesley J.; Ellis, Peter C.

    2010-11-09

    The marine and hydrokinetic (MHK) environmental impacts knowledge management system (KMS), dubbed Tethys after the mythical Greek goddess of the seas, is being developed for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy Wind and Hydropower Technologies Program (WHTP) by Pacific Northwest National Laboratory (PNNL). This requirements specification establishes the essential capabilities required of Tethys and clarifies for WHTP and the Tethys development team the results that must be achieved by the system.

  3. Carbon Nanotube Based Sensors

    SciTech Connect (OSTI)

    Jiang, Mian; Lin, Yuehe

    2006-11-01

    This review article provides a comprehensive review on sensors and biosensors based on functionalized carbon nanotubes.

  4. physics-based-html

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Physics-based High-Resolution Numerical Modeling of Bridge Foundation Scour

  5. Based Accelerators Gennady Shvets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Finally, I will discuss a new structure-based laser-driven surface wave accelerator based on silicon carbide (SiC) that employs a polaritonic material with a negative dielectric ...

  6. Activity Based Costing

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Activity Based Costing (ABC) is method for developing cost estimates in which the project is subdivided into discrete, quantifiable activities or a work unit. This chapter outlines the Activity Based Costing method and discusses applicable uses of ABC.

  7. The National Center for Biomedical Ontology: Advancing Biomedicinethrough Structured Organization of Scientific Knowledge

    SciTech Connect (OSTI)

    Rubin, Daniel L.; Lewis, Suzanna E.; Mungall, Chris J.; Misra,Sima; Westerfield, Monte; Ashburner, Michael; Sim, Ida; Chute,Christopher G.; Solbrig, Harold; Storey, Margaret-Anne; Smith, Barry; Day-Richter, John; Noy, Natalya F.; Musen, Mark A.

    2006-01-23

    The National Center for Biomedical Ontology(http://bioontology.org) is a consortium that comprises leadinginformaticians, biologists, clinicians, and ontologists funded by the NIHRoadmap to develop innovative technology and methods that allowscientists to record, manage, and disseminate biomedical information andknowledge in machine-processable form. The goals of the Center are: (1)to help unify the divergent and isolated efforts in ontology developmentby promoting high quality open-source, standards-based tools to create,manage, and use ontologies, (2) to create new software tools so thatscientists can use ontologies to annotate and analyze biomedical data,(3) to provide a national resource for the ongoing evaluation,integration, and evolution of biomedical ontologies and associated toolsand theories in the context of driving biomedical projects (DBPs), and(4) to disseminate the tools and resources of the Center and to identify,evaluate, and communicate best practices of ontology development to thebiomedical community. The Center is working toward these objectives byproviding tools to develop ontologies and to annotate experimental data,and by developing resources to integrate and relate existing ontologiesas well as by creating repositories of biomedical data that are annotatedusing those ontologies. The Center is providing training workshops inontology design, development, and usage, and is also pursuing research inontology evaluation, quality, and use of ontologies to promote scientificdiscovery. Through the research activities within the Center,collaborations with the DBPs, and interactions with the biomedicalcommunity, our goal is to help scientists to work more effectively in thee-science paradigm, enhancing experiment design, experiment execution,data analysis, information synthesis, hypothesis generation and testing,and understand human disease.

  8. Process Knowledge Summary Report for Advanced Test Reactor Complex Contact-Handled Transuranic Waste Drum TRA010029

    SciTech Connect (OSTI)

    B. R. Adams; R. P. Grant; P. R. Smith; J. L. Weisgerber

    2013-09-01

    This Process Knowledge Summary Report summarizes information collected to satisfy the transportation and waste acceptance requirements for the transfer of one drum containing contact-handled transuranic (TRU) actinide standards generated by the Idaho National Laboratory at the Advanced Test Reactor (ATR) Complex to the Advanced Mixed Waste Treatment Project (AMWTP) for storage and subsequent shipment to the Waste Isolation Pilot Plant for final disposal. The drum (i.e., Integrated Waste Tracking System Bar Code Number TRA010029) is currently stored at the Materials and Fuels Complex. The information collected includes documentation that addresses the requirements for AMWTP and applicable sections of their Resource Conservation and Recovery Act permits for receipt and disposal of this TRU waste generated from ATR. This Process Knowledge Summary Report includes information regarding, but not limited to, the generation process, the physical form, radiological characteristics, and chemical contaminants of the TRU waste, prohibited items, and packaging configuration. This report, along with the referenced supporting documents, will create a defensible and auditable record for this TRU waste originating from ATR.

  9. Acceptable Knowledge Summary Report for Mixed TRU Waste Streams: SR-W026-221F-HET-A through D

    SciTech Connect (OSTI)

    Lunsford, G.F.

    2001-10-02

    This document, along with referenced supporting documents provides a defensible and auditable record of acceptable knowledge for the heterogeneous debris mixed transuranic waste streams generated in the FB-Line after January 25, 1990 and before March 20, 1997.

  10. Feature-based Analysis of Plasma-based Particle Acceleration Data

    SciTech Connect (OSTI)

    Ruebel, Oliver; Geddes, Cameron G.R.; Chen, Min; Cormier-Michel, Estelle; Bethel, E. Wes

    2013-07-05

    Plasma-based particle accelerators can produce and sustain thousands of times stronger acceleration fields than conventional particle accelerators, providing a potential solution to the problem of the growing size and cost of conventional particle accelerators. To facilitate scientific knowledge discovery from the ever growing collections of accelerator simulation data generated by accelerator physicists to investigate next-generation plasma-based particle accelerator designs, we describe a novel approach for automatic detection and classification of particle beams and beam substructures due to temporal differences in the acceleration process, here called acceleration features. The automatic feature detection in combination with a novel visualization tool for fast, intuitive, query-based exploration of acceleration features enables an effective top-down data exploration process, starting from a high-level, feature-based view down to the level of individual particles. We describe the application of our analysis in practice to analyze simulations of single pulse and dual and triple colliding pulse accelerator designs, and to study the formation and evolution of particle beams, to compare substructures of a beam and to investigate transverse particle loss.